diff --git a/README.md b/README.md index a242825..a307db7 100644 --- a/README.md +++ b/README.md @@ -99,29 +99,29 @@ This curated list contains 920 awesome open-source projects with a total of 4.7M _General-purpose machine learning and deep learning frameworks._ -
Tensorflow (πŸ₯‡55 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 +
Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 74K Β· πŸ“¦ 440K Β· πŸ“‹ 45K - 13% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 74K Β· πŸ“¦ 440K Β· πŸ“‹ 45K - 13% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 22M / month Β· πŸ“¦ 8.1K Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 24M / month Β· πŸ“¦ 8.1K Β· ⏱️ 25.10.2024): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 5.1M Β· ⏱️ 17.10.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 5.2M Β· ⏱️ 17.10.2024): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 79M Β· ⭐ 2.6K Β· ⏱️ 05.12.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 79M Β· ⭐ 2.6K Β· ⏱️ 12.12.2024): ``` docker pull tensorflow/tensorflow ```
PyTorch (πŸ₯‡55 Β· ⭐ 85K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.3K Β· πŸ”€ 23K Β· πŸ“₯ 68K Β· πŸ“¦ 580K Β· πŸ“‹ 48K - 32% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 5.3K Β· πŸ”€ 23K Β· πŸ“₯ 68K Β· πŸ“¦ 590K Β· πŸ“‹ 48K - 32% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/pytorch/pytorch @@ -137,23 +137,23 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡53 Β· ⭐ 60K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 970K Β· πŸ“‹ 12K - 17% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 25K Β· πŸ“₯ 1K Β· πŸ“¦ 980K Β· πŸ“‹ 12K - 17% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 81M / month Β· πŸ“¦ 26K Β· ⏱️ 15.11.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 81M / month Β· πŸ“¦ 26K Β· ⏱️ 09.12.2024): ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 33M Β· ⏱️ 15.11.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 33M Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge scikit-learn ```
Keras (πŸ₯‡48 Β· ⭐ 62K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/keras-team/keras @@ -162,30 +162,46 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.8M Β· ⏱️ 27.11.2024): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3.8M Β· ⏱️ 10.12.2024): ``` conda install -c conda-forge keras ```
+
XGBoost (πŸ₯‡46 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 + +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 8.7K Β· πŸ“₯ 13K Β· πŸ“¦ 120K Β· πŸ“‹ 5.4K - 8% open Β· ⏱️ 11.12.2024): + + ``` + git clone https://github.com/dmlc/xgboost + ``` +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 26M / month Β· πŸ“¦ 2.1K Β· ⏱️ 26.11.2024): + ``` + pip install xgboost + ``` +- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 5.5M Β· ⏱️ 03.12.2024): + ``` + conda install -c conda-forge xgboost + ``` +
jax (πŸ₯‡45 Β· ⭐ 31K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 800 Β· πŸ”€ 2.8K Β· πŸ“¦ 34K Β· πŸ“‹ 5.8K - 25% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/jax-ml/jax) (πŸ‘¨β€πŸ’» 800 Β· πŸ”€ 2.8K Β· πŸ“¦ 34K Β· πŸ“‹ 5.8K - 25% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.5M / month Β· πŸ“¦ 1.9K Β· ⏱️ 22.10.2024): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.7M / month Β· πŸ“¦ 2K Β· ⏱️ 10.12.2024): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.9M Β· ⏱️ 24.10.2024): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 2M Β· ⏱️ 12.12.2024): ``` conda install -c conda-forge jaxlib ```
PaddlePaddle (πŸ₯‡45 Β· ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.6K Β· πŸ“₯ 15K Β· πŸ“¦ 6.5K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 5.6K Β· πŸ“₯ 15K Β· πŸ“¦ 6.5K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -197,7 +213,7 @@ _General-purpose machine learning and deep learning frameworks._
StatsModels (πŸ₯‡45 Β· ⭐ 10K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3K Β· πŸ“₯ 35 Β· πŸ“¦ 140K Β· πŸ“‹ 5.6K - 50% open Β· ⏱️ 14.11.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3K Β· πŸ“₯ 35 Β· πŸ“¦ 150K Β· πŸ“‹ 5.7K - 50% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/statsmodels/statsmodels @@ -213,7 +229,7 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯ˆ44 Β· ⭐ 40K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.2K Β· πŸ”€ 28K Β· ⏱️ 12.12.2024): ``` git clone https://github.com/apache/spark @@ -227,41 +243,25 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge pyspark ```
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XGBoost (πŸ₯ˆ43 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 - -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 8.7K Β· πŸ“₯ 12K Β· πŸ“¦ 120K Β· πŸ“‹ 5.4K - 8% open Β· ⏱️ 05.12.2024): - - ``` - git clone https://github.com/dmlc/xgboost - ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“¦ 2.1K Β· ⏱️ 26.11.2024): - ``` - pip install xgboost - ``` -- [Conda](https://anaconda.org/conda-forge/xgboost) (πŸ“₯ 5.5M Β· ⏱️ 03.12.2024): - ``` - conda install -c conda-forge xgboost - ``` -
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Catboost (πŸ₯ˆ43 Β· ⭐ 8.1K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 +
pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 330K Β· πŸ“¦ 15 Β· πŸ“‹ 2.4K - 24% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 990 Β· πŸ”€ 3.4K Β· πŸ“₯ 11K Β· πŸ“¦ 40K Β· πŸ“‹ 7.2K - 11% open Β· ⏱️ 11.12.2024): ``` - git clone https://github.com/catboost/catboost + git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 3.8M / month Β· πŸ“¦ 540 Β· ⏱️ 07.09.2024): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 7.2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 07.08.2024): ``` - pip install catboost + pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.8M Β· ⏱️ 07.09.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.4M Β· ⏱️ 07.08.2024): ``` - conda install -c conda-forge catboost + conda install -c conda-forge pytorch-lightning ```
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LightGBM (πŸ₯ˆ42 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT +
LightGBM (πŸ₯ˆ43 Β· ⭐ 17K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 240K Β· πŸ“¦ 41K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.8K Β· πŸ“₯ 240K Β· πŸ“¦ 41K Β· πŸ“‹ 3.5K - 10% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/microsoft/LightGBM @@ -275,20 +275,20 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge lightgbm ```
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pytorch-lightning (πŸ₯ˆ41 Β· ⭐ 29K) - Pretrain, finetune ANY AI model of ANY size on.. Apache-2 +
Catboost (πŸ₯ˆ42 Β· ⭐ 8.1K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 3.4K Β· πŸ“₯ 11K Β· πŸ“¦ 39K Β· πŸ“‹ 7.2K - 11% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 1.2K Β· πŸ“₯ 330K Β· πŸ“¦ 15 Β· πŸ“‹ 2.4K - 24% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/Lightning-AI/lightning + git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“¦ 1.4K Β· ⏱️ 07.08.2024): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 3.7M / month Β· πŸ“¦ 540 Β· ⏱️ 07.09.2024): ``` - pip install pytorch-lightning + pip install catboost ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.4M Β· ⏱️ 07.08.2024): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.8M Β· ⏱️ 07.09.2024): ``` - conda install -c conda-forge pytorch-lightning + conda install -c conda-forge catboost ```
Fastai (πŸ₯ˆ41 Β· ⭐ 26K) - The fastai deep learning library. Apache-2 @@ -298,23 +298,39 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 640K / month Β· πŸ“¦ 310 Β· ⏱️ 19.10.2024): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 580K / month Β· πŸ“¦ 310 Β· ⏱️ 19.10.2024): ``` pip install fastai ```
PyFlink (πŸ₯ˆ39 Β· ⭐ 24K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 2K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 12.12.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 4.9M / month Β· πŸ“¦ 35 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 15M / month Β· πŸ“¦ 35 Β· ⏱️ 01.08.2024): ``` pip install apache-flink ```
+
Flax (πŸ₯ˆ38 Β· ⭐ 6.2K) - Flax is a neural network library for JAX that is designed for.. Apache-2 + +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 650 Β· πŸ“₯ 57 Β· πŸ“¦ 11K Β· πŸ“‹ 1.1K - 29% open Β· ⏱️ 11.12.2024): + + ``` + git clone https://github.com/google/flax + ``` +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 910K / month Β· πŸ“¦ 490 Β· ⏱️ 19.11.2024): + ``` + pip install flax + ``` +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 81K Β· ⏱️ 20.11.2024): + ``` + conda install -c conda-forge flax + ``` +
Jina (πŸ₯ˆ37 Β· ⭐ 21K) - Build multimodal AI applications with cloud-native stack. Apache-2 - [GitHub](https://github.com/jina-ai/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 12.11.2024): @@ -322,7 +338,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 98K / month Β· πŸ“¦ 27 Β· ⏱️ 08.11.2024): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 92K / month Β· πŸ“¦ 27 Β· ⏱️ 08.11.2024): ``` pip install jina ``` @@ -335,14 +351,14 @@ _General-purpose machine learning and deep learning frameworks._ docker pull jinaai/jina ```
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Theano (πŸ₯ˆ36 Β· ⭐ 9.9K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +
Theano (πŸ₯ˆ37 Β· ⭐ 9.9K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 - [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 16K Β· πŸ“‹ 2.8K - 25% open Β· ⏱️ 15.01.2024): ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“¦ 170 Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 91K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -353,7 +369,7 @@ _General-purpose machine learning and deep learning frameworks._
einops (πŸ₯ˆ36 Β· ⭐ 8.6K) - Flexible and powerful tensor operations for readable and reliable code.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 350 Β· πŸ“¦ 53K Β· πŸ“‹ 180 - 16% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 350 Β· πŸ“¦ 54K Β· πŸ“‹ 180 - 16% open Β· ⏱️ 19.11.2024): ``` git clone https://github.com/arogozhnikov/einops @@ -369,12 +385,12 @@ _General-purpose machine learning and deep learning frameworks._
Vowpal Wabbit (πŸ₯ˆ35 Β· ⭐ 8.5K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 01.08.2024): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“¦ 1 Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 01.08.2024): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 190K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 160K / month Β· πŸ“¦ 40 Β· ⏱️ 08.08.2024): ``` pip install vowpalwabbit ``` @@ -383,25 +399,41 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge vowpalwabbit ```
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Flax (πŸ₯ˆ35 Β· ⭐ 6.2K) - Flax is a neural network library for JAX that is designed for.. Apache-2 +
mlpack (πŸ₯ˆ35 Β· ⭐ 5.2K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 650 Β· πŸ“₯ 55 Β· πŸ“¦ 11K Β· πŸ“‹ 1.1K - 29% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 11.12.2024): ``` - git clone https://github.com/google/flax + git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“¦ 490 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 7.4K / month Β· πŸ“¦ 6 Β· ⏱️ 11.12.2024): ``` - pip install flax + pip install mlpack ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 80K Β· ⏱️ 20.11.2024): +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 280K Β· ⏱️ 22.09.2024): ``` - conda install -c conda-forge flax + conda install -c conda-forge mlpack + ``` +
+
Ignite (πŸ₯ˆ35 Β· ⭐ 4.6K) - High-level library to help with training and evaluating neural.. BSD-3 + +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 620 Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 09.12.2024): + + ``` + git clone https://github.com/pytorch/ignite + ``` +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 160K / month Β· πŸ“¦ 100 Β· ⏱️ 12.12.2024): + ``` + pip install pytorch-ignite + ``` +- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 210K Β· ⏱️ 13.08.2024): + ``` + conda install -c pytorch ignite ```
Thinc (πŸ₯ˆ35 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 280 Β· πŸ“₯ 400 Β· πŸ“¦ 57K Β· πŸ“‹ 150 - 14% open Β· ⏱️ 30.09.2024): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 57K Β· πŸ“‹ 150 - 14% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/explosion/thinc @@ -415,36 +447,32 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ```
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mlpack (πŸ₯ˆ34 Β· ⭐ 5.1K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
Ludwig (πŸ₯‰33 Β· ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“¦ 280 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 17.10.2024): ``` - git clone https://github.com/mlpack/mlpack - ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“¦ 4 Β· ⏱️ 20.09.2024): - ``` - pip install mlpack + git clone https://github.com/ludwig-ai/ludwig ``` -- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 280K Β· ⏱️ 22.09.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.3K / month Β· πŸ“¦ 6 Β· ⏱️ 30.07.2024): ``` - conda install -c conda-forge mlpack + pip install ludwig ```
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Ignite (πŸ₯ˆ33 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 +
Haiku (πŸ₯‰32 Β· ⭐ 2.9K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 710 Β· πŸ”€ 620 Β· πŸ“¦ 3.4K Β· πŸ“‹ 1.4K - 11% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 230 Β· πŸ“¦ 2.2K Β· πŸ“‹ 250 - 28% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/pytorch/ignite + git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“¦ 100 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 280K / month Β· πŸ“¦ 180 Β· ⏱️ 16.10.2024): ``` - pip install pytorch-ignite + pip install dm-haiku ``` -- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 210K Β· ⏱️ 13.08.2024): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 25K Β· ⏱️ 23.10.2024): ``` - conda install -c pytorch ignite + conda install -c conda-forge dm-haiku ```
Sonnet (πŸ₯‰31 Β· ⭐ 9.8K) - TensorFlow-based neural network library. Apache-2 @@ -463,42 +491,38 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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Ludwig (πŸ₯‰30 Β· ⭐ 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 +
Determined (πŸ₯‰31 Β· ⭐ 3.1K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“¦ 280 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 17.10.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 11K Β· πŸ“‹ 450 - 21% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/ludwig-ai/ludwig + git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“¦ 6 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 20K / month Β· πŸ“¦ 4 Β· ⏱️ 22.11.2024): ``` - pip install ludwig + pip install determined ```
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Geomstats (πŸ₯‰30 Β· ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. MIT +
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 30.11.2024): +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 95 Β· πŸ“₯ 26 Β· πŸ“‹ 380 - 18% open Β· ⏱️ 06.12.2024): ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.3K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): - ``` - pip install geomstats + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 4.3K Β· ⏱️ 10.09.2024): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 7.1K / month Β· πŸ“¦ 9 Β· ⏱️ 10.01.2024): ``` - conda install -c conda-forge geomstats + pip install tensorflow-rocm ```
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skorch (πŸ₯‰29 Β· ⭐ 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
skorch (πŸ₯‰30 Β· ⭐ 5.9K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 390 Β· πŸ“¦ 1.5K Β· πŸ“‹ 520 - 11% open Β· ⏱️ 05.11.2024): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“¦ 85 Β· ⏱️ 27.05.2024): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 150K / month Β· πŸ“¦ 85 Β· ⏱️ 27.05.2024): ``` pip install skorch ``` @@ -507,35 +531,35 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge skorch ```
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Determined (πŸ₯‰29 Β· ⭐ 3K) - Determined is an open-source machine learning platform.. Apache-2 +
Geomstats (πŸ₯‰30 Β· ⭐ 1.3K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“₯ 11K Β· πŸ“‹ 450 - 21% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 570 - 36% open Β· ⏱️ 05.12.2024): ``` - git clone https://github.com/determined-ai/determined + git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“¦ 4 Β· ⏱️ 22.11.2024): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 3.5K / month Β· πŸ“¦ 12 Β· ⏱️ 09.09.2024): ``` - pip install determined + pip install geomstats + ``` +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 4.3K Β· ⏱️ 10.09.2024): + ``` + conda install -c conda-forge geomstats ```
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Haiku (πŸ₯‰29 Β· ⭐ 2.9K) - JAX-based neural network library. Apache-2 +
NuPIC (πŸ₯‰28 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. MIT -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 230 Β· πŸ“¦ 2.2K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 13 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): ``` - git clone https://github.com/deepmind/dm-haiku - ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“¦ 180 Β· ⏱️ 16.10.2024): - ``` - pip install dm-haiku + git clone https://github.com/numenta/nupic ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 25K Β· ⏱️ 23.10.2024): +- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 2.7K / month Β· ⏱️ 01.09.2016): ``` - conda install -c conda-forge dm-haiku + pip install nupic ```
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Neural Network Libraries (πŸ₯‰29 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 +
Neural Network Libraries (πŸ₯‰28 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 - [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 330 Β· πŸ“₯ 990 Β· πŸ“‹ 95 - 36% open Β· ⏱️ 15.11.2024): @@ -547,18 +571,6 @@ _General-purpose machine learning and deep learning frameworks._ pip install nnabla ```
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NuPIC (πŸ₯‰28 Β· ⭐ 6.3K Β· πŸ“ˆ) - Numenta Platform for Intelligent Computing is an implementation of.. MIT - -- [GitHub](https://github.com/numenta/nupic-legacy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 13 Β· πŸ“¦ 21 Β· πŸ“‹ 1.8K - 25% open Β· ⏱️ 03.12.2024): - - ``` - git clone https://github.com/numenta/nupic - ``` -- [PyPi](https://pypi.org/project/nupic) (πŸ“₯ 2.8K / month Β· ⏱️ 01.09.2016): - ``` - pip install nupic - ``` -
EvaDB (πŸ₯‰27 Β· ⭐ 2.6K Β· πŸ’€) - Database system for AI-powered apps. Apache-2 - [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 260 Β· πŸ“₯ 420K Β· πŸ“¦ 150 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): @@ -566,7 +578,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 1.4K / month Β· ⏱️ 19.11.2023): ``` pip install evadb ``` @@ -578,31 +590,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 9.8K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 9.2K / month Β· πŸ“¦ 4 Β· ⏱️ 19.06.2024): ``` pip install ktrain ```
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tensorflow-upstream (πŸ₯‰27 Β· ⭐ 690) - TensorFlow ROCm port. Apache-2 +
pyRiemann (πŸ₯‰27 Β· ⭐ 650) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.7K Β· πŸ”€ 95 Β· πŸ“₯ 26 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 160 Β· πŸ“¦ 410 Β· πŸ“‹ 110 - 4% open Β· ⏱️ 28.11.2024): ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“¦ 9 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 29K / month Β· πŸ“¦ 28 Β· ⏱️ 03.10.2024): ``` - pip install tensorflow-rocm + pip install pyriemann + ``` +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 9.1K Β· ⏱️ 04.10.2024): + ``` + conda install -c conda-forge pyriemann ```
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Towhee (πŸ₯‰26 Β· ⭐ 3.2K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 +
Towhee (πŸ₯‰26 Β· ⭐ 3.3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 - [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“₯ 2.7K Β· πŸ“‹ 670 - 0% open Β· ⏱️ 18.10.2024): ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 13K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 15K / month Β· ⏱️ 04.12.2023): ``` pip install towhee ``` @@ -623,20 +639,16 @@ _General-purpose machine learning and deep learning frameworks._ docker pull shogun/shogun ```
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pyRiemann (πŸ₯‰25 Β· ⭐ 640) - Machine learning for multivariate data through the Riemannian.. BSD-3 +
Neural Tangents (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 160 Β· πŸ“¦ 410 Β· πŸ“‹ 110 - 4% open Β· ⏱️ 28.11.2024): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 530 Β· πŸ“¦ 120 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 01.03.2024): ``` - git clone https://github.com/pyRiemann/pyRiemann - ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“¦ 28 Β· ⏱️ 03.10.2024): - ``` - pip install pyriemann + git clone https://github.com/google/neural-tangents ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 9K Β· ⏱️ 04.10.2024): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.8K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): ``` - conda install -c conda-forge pyriemann + pip install neural-tangents ```
fklearn (πŸ₯‰24 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 @@ -646,19 +658,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.3K / month Β· ⏱️ 14.08.2024): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.1K / month Β· ⏱️ 14.08.2024): ``` pip install fklearn ```
Runhouse (πŸ₯‰24 Β· ⭐ 980) - Dispatch and distribute your ML training to serverless clusters in.. Apache-2 -- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 35 Β· πŸ“₯ 58 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/run-house/runhouse) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 35 Β· πŸ“₯ 60 Β· πŸ“‹ 51 - 17% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/run-house/runhouse ``` -- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 32K / month Β· πŸ“¦ 1 Β· ⏱️ 13.11.2024): +- [PyPi](https://pypi.org/project/runhouse) (πŸ“₯ 33K / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2024): ``` pip install runhouse ``` @@ -670,19 +682,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 2.3K / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 2.1K / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ```
chefboost (πŸ₯‰22 Β· ⭐ 460) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 62 Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 63 Β· ⏱️ 30.10.2024): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 5.7K / month Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 5.9K / month Β· ⏱️ 30.10.2024): ``` pip install chefboost ``` @@ -695,26 +707,14 @@ _General-purpose machine learning and deep learning frameworks._ git clone https://github.com/XiaoMi/mace ```
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Neural Tangents (πŸ₯‰21 Β· ⭐ 2.3K Β· πŸ’€) - Fast and Easy Infinite Neural Networks in Python. Apache-2 - -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 520 Β· πŸ“¦ 120 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 01.03.2024): - - ``` - git clone https://github.com/google/neural-tangents - ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“¦ 1 Β· ⏱️ 11.12.2023): - ``` - pip install neural-tangents - ``` -
Objax (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Objax is a machine learning framework that provides an Object.. Apache-2 -- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 62 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 78 Β· πŸ“¦ 63 Β· πŸ“‹ 110 - 45% open Β· ⏱️ 27.01.2024): ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 930 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): ``` pip install objax ``` @@ -726,19 +726,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 820 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 760 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ```
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NeoML (πŸ₯‰19 Β· ⭐ 770) - Machine learning framework for both deep learning and traditional.. Apache-2 +
NeoML (πŸ₯‰20 Β· ⭐ 770) - Machine learning framework for both deep learning and traditional.. Apache-2 - [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 130 Β· πŸ“¦ 2 Β· πŸ“‹ 91 - 40% open Β· ⏱️ 30.09.2024): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 880 / month Β· ⏱️ 26.12.2023): ``` pip install neoml ``` @@ -750,7 +750,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 2.7K / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 2.5K / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -758,22 +758,22 @@ _General-purpose machine learning and deep learning frameworks._
Show 17 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 14K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 -- ivy (πŸ₯ˆ36 Β· ⭐ 14K) - Convert Machine Learning Code Between Frameworks. ❗️Intel-ACPI -- MXNet (πŸ₯ˆ34 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- MindsDB (πŸ₯ˆ33 Β· ⭐ 27K) - Platform for building AI that can learn and answer.. ❗️MulanPSL-1.0 +- MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 +- ivy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“‰) - Convert Machine Learning Code Between Frameworks. ❗️Intel-ACPI +- Chainer (πŸ₯‰34 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT +- MindsDB (πŸ₯‰33 Β· ⭐ 27K) - Platform for building AI that can learn and answer.. ❗️MulanPSL-1.0 +- Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 +- tensorpack (πŸ₯‰32 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT -- Chainer (πŸ₯‰31 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - dyNET (πŸ₯‰31 Β· ⭐ 3.4K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- tensorpack (πŸ₯‰30 Β· ⭐ 6.3K Β· πŸ’€) - A Neural Net Training Interface on TensorFlow, with.. Apache-2 -- Turi Create (πŸ₯‰29 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 -- CNTK (πŸ₯‰28 Β· ⭐ 18K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT -- Lasagne (πŸ₯‰25 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT +- CNTK (πŸ₯‰30 Β· ⭐ 18K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT +- Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT - NeuPy (πŸ₯‰25 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - xLearn (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - elegy (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT -- nanodl (πŸ₯‰13 Β· ⭐ 280) - A Jax-based library for designing and training transformer models from.. MIT +- nanodl (πŸ₯‰15 Β· ⭐ 280) - A Jax-based library for designing and training transformer models from.. MIT

@@ -783,66 +783,66 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡46 Β· ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed +
Matplotlib (πŸ₯‡48 Β· ⭐ 20K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.7K Β· πŸ“¦ 1.4M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 7.7K Β· πŸ“¦ 1.5M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“¦ 52K Β· ⏱️ 30.11.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 74M / month Β· πŸ“¦ 52K Β· ⏱️ 30.11.2024): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 27M Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 27M Β· ⏱️ 06.12.2024): ``` conda install -c conda-forge matplotlib ```
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 95K Β· πŸ“‹ 7.8K - 10% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 4.2K Β· πŸ“¦ 95K Β· πŸ“‹ 7.8K - 10% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.8K Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.4M / month Β· πŸ“¦ 1.8K Β· ⏱️ 03.12.2024): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 15M Β· ⏱️ 03.12.2024): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 16M Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge bokeh ```
Plotly (πŸ₯‡45 Β· ⭐ 16K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.6K Β· πŸ“¦ 330K Β· πŸ“‹ 3.1K - 18% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.6K Β· πŸ“¦ 340K Β· πŸ“‹ 3.1K - 18% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 22M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 21M / month Β· πŸ“¦ 6.3K Β· ⏱️ 12.09.2024): ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 7.7M Β· ⏱️ 12.09.2024): +- [Conda](https://anaconda.org/conda-forge/plotly) (πŸ“₯ 7.7M Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 9.7K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 6.8K / month Β· πŸ“¦ 9 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
dash (πŸ₯‡43 Β· ⭐ 22K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“₯ 86 Β· πŸ“¦ 73K Β· πŸ“‹ 1.9K - 26% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“₯ 87 Β· πŸ“¦ 74K Β· πŸ“‹ 1.9K - 26% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 4.4M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.11.2024): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 4.6M / month Β· πŸ“¦ 1.3K Β· ⏱️ 04.11.2024): ``` pip install dash ``` @@ -867,7 +867,7 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge altair ```
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Seaborn (πŸ₯‡41 Β· ⭐ 13K) - Statistical data visualization in Python. BSD-3 +
Seaborn (πŸ₯‡42 Β· ⭐ 13K) - Statistical data visualization in Python. BSD-3 - [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.9K Β· πŸ“₯ 460 Β· πŸ“¦ 520K Β· πŸ“‹ 2.6K - 7% open Β· ⏱️ 22.07.2024): @@ -878,51 +878,47 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 11M Β· ⏱️ 30.04.2024): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 11M Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge seaborn ```
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PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
pyecharts (πŸ₯ˆ38 Β· ⭐ 15K Β· πŸ“ˆ) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 11K Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 06.11.2024): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 71 Β· πŸ“¦ 4.7K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.11.2024): ``` - git clone https://github.com/pyqtgraph/pyqtgraph - ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 550K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): - ``` - pip install pyqtgraph + git clone https://github.com/pyecharts/pyecharts ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 620K Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 190K / month Β· πŸ“¦ 220 Β· ⏱️ 03.11.2024): ``` - conda install -c conda-forge pyqtgraph + pip install pyecharts ```
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PyVista (πŸ₯ˆ36 Β· ⭐ 2.8K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT +
pandas-profiling (πŸ₯ˆ38 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“₯ 840 Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.8K - 36% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 220 Β· πŸ“¦ 4.8K Β· πŸ“‹ 810 - 28% open Β· ⏱️ 10.12.2024): ``` - git clone https://github.com/pyvista/pyvista + git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“¦ 580 Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 440K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): ``` - pip install pyvista + pip install pandas-profiling ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 590K Β· ⏱️ 27.11.2024): +- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 480K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pyvista + conda install -c conda-forge pandas-profiling ```
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HoloViews (πŸ₯ˆ36 Β· ⭐ 2.7K) - With Holoviews, your data visualizes itself. BSD-3 +
HoloViews (πŸ₯ˆ38 Β· ⭐ 2.7K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 13K Β· πŸ“‹ 3.4K - 33% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 400 Β· πŸ“¦ 13K Β· πŸ“‹ 3.4K - 33% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“¦ 400 Β· ⏱️ 11.11.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 460K / month Β· πŸ“¦ 400 Β· ⏱️ 11.11.2024): ``` pip install holoviews ``` @@ -930,195 +926,199 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 260 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 210 / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2024): ``` npm install @pyviz/jupyterlab_pyviz ```
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cartopy (πŸ₯ˆ36 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 +
FiftyOne (πŸ₯ˆ37 Β· ⭐ 9K Β· πŸ“ˆ) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 6.1K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 28.11.2024): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 570 Β· πŸ“¦ 760 Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/SciTools/cartopy - ``` -- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 400K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): - ``` - pip install cartopy + git clone https://github.com/voxel51/fiftyone ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.3M Β· ⏱️ 07.10.2024): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 71K / month Β· πŸ“¦ 24 Β· ⏱️ 06.12.2024): ``` - conda install -c conda-forge cartopy + pip install fiftyone ```
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pandas-profiling (πŸ₯ˆ35 Β· ⭐ 13K) - 1 Line of code data quality profiling & exploratory.. MIT +
plotnine (πŸ₯ˆ37 Β· ⭐ 4.1K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“₯ 210 Β· πŸ“¦ 4.8K Β· πŸ“‹ 810 - 28% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 220 Β· πŸ“¦ 9.7K Β· πŸ“‹ 690 - 11% open Β· ⏱️ 28.11.2024): ``` - git clone https://github.com/ydataai/pandas-profiling + git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“¦ 180 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3.4M / month Β· πŸ“¦ 320 Β· ⏱️ 26.11.2024): ``` - pip install pandas-profiling + pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 480K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 420K Β· ⏱️ 26.11.2024): ``` - conda install -c conda-forge pandas-profiling + conda install -c conda-forge plotnine ```
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UMAP (πŸ₯ˆ35 Β· ⭐ 7.5K) - Uniform Manifold Approximation and Projection. BSD-3 +
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.9K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 810 Β· πŸ“¦ 1 Β· πŸ“‹ 820 - 58% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“¦ 11K Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 06.11.2024): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 2.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 540K / month Β· πŸ“¦ 1K Β· ⏱️ 29.04.2024): ``` - pip install umap-learn + pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.7M Β· ⏱️ 29.10.2024): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 620K Β· ⏱️ 11.12.2024): ``` - conda install -c conda-forge umap-learn + conda install -c conda-forge pyqtgraph ```
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datashader (πŸ₯ˆ34 Β· ⭐ 3.3K) - Quickly and accurately render even the largest data. BSD-3 +
PyVista (πŸ₯ˆ37 Β· ⭐ 2.8K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 370 Β· πŸ“¦ 5.2K Β· πŸ“‹ 590 - 23% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“₯ 840 Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.8K - 36% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/holoviz/datashader + git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 160K / month Β· πŸ“¦ 200 Β· ⏱️ 04.07.2024): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 400K / month Β· πŸ“¦ 580 Β· ⏱️ 27.11.2024): ``` - pip install datashader + pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 1.2M Β· ⏱️ 08.07.2024): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 590K Β· ⏱️ 27.11.2024): ``` - conda install -c conda-forge datashader + conda install -c conda-forge pyvista ```
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pyecharts (πŸ₯ˆ33 Β· ⭐ 15K Β· πŸ“‰) - Python Echarts Plotting Library. MIT +
cartopy (πŸ₯ˆ36 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 2.9K Β· πŸ“₯ 71 Β· πŸ“¦ 4.6K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.11.2024): +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 6.2K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 10.12.2024): ``` - git clone https://github.com/pyecharts/pyecharts + git clone https://github.com/SciTools/cartopy ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“¦ 220 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/cartopy) (πŸ“₯ 400K / month Β· πŸ“¦ 720 Β· ⏱️ 08.10.2024): ``` - pip install pyecharts + pip install cartopy + ``` +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 4.3M Β· ⏱️ 07.10.2024): + ``` + conda install -c conda-forge cartopy ```
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Perspective (πŸ₯ˆ33 Β· ⭐ 8.6K) - A data visualization and analytics component, especially.. Apache-2 +
UMAP (πŸ₯ˆ35 Β· ⭐ 7.5K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“₯ 6.8K Β· πŸ“¦ 150 Β· πŸ“‹ 830 - 13% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 810 Β· πŸ“¦ 1 Β· πŸ“‹ 820 - 58% open Β· ⏱️ 29.11.2024): ``` - git clone https://github.com/finos/perspective - ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 19K / month Β· πŸ“¦ 26 Β· ⏱️ 03.12.2024): - ``` - pip install perspective-python + git clone https://github.com/lmcinnes/umap ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 1.4M Β· ⏱️ 22.11.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.1K Β· ⏱️ 28.10.2024): ``` - conda install -c conda-forge perspective + pip install umap-learn ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 3.5K / month Β· πŸ“¦ 6 Β· ⏱️ 03.12.2024): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.7M Β· ⏱️ 29.10.2024): ``` - npm install @finos/perspective-jupyterlab + conda install -c conda-forge umap-learn ```
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plotnine (πŸ₯ˆ33 Β· ⭐ 4.1K) - A Grammar of Graphics for Python. MIT +
Graphviz (πŸ₯ˆ35 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 220 Β· πŸ“¦ 9.6K Β· πŸ“‹ 690 - 11% open Β· ⏱️ 28.11.2024): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 78K Β· πŸ“‹ 180 - 6% open Β· ⏱️ 13.05.2024): ``` - git clone https://github.com/has2k1/plotnine + git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“¦ 320 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 19M / month Β· πŸ“¦ 2.6K Β· ⏱️ 21.03.2024): ``` - pip install plotnine + pip install graphviz ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 420K Β· ⏱️ 26.11.2024): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 51K Β· ⏱️ 08.04.2024): ``` - conda install -c conda-forge plotnine + conda install -c anaconda python-graphviz ```
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wordcloud (πŸ₯ˆ32 Β· ⭐ 10K) - A little word cloud generator in Python. MIT +
wordcloud (πŸ₯ˆ34 Β· ⭐ 10K) - A little word cloud generator in Python. MIT - [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 550 - 23% open Β· ⏱️ 10.11.2024): ``` git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“¦ 550 Β· ⏱️ 10.11.2024): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.9M / month Β· πŸ“¦ 550 Β· ⏱️ 10.11.2024): ``` pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 570K Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 580K Β· ⏱️ 02.12.2024): ``` conda install -c conda-forge wordcloud ```
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FiftyOne (πŸ₯ˆ32 Β· ⭐ 8.9K) - Visualize, create, and debug image and video datasets.. Apache-2 +
datashader (πŸ₯ˆ34 Β· ⭐ 3.3K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 750 Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 370 Β· πŸ“¦ 5.2K Β· πŸ“‹ 590 - 23% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/voxel51/fiftyone + git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“¦ 22 Β· ⏱️ 08.11.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 160K / month Β· πŸ“¦ 200 Β· ⏱️ 04.07.2024): ``` - pip install fiftyone + pip install datashader + ``` +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 1.3M Β· ⏱️ 08.07.2024): + ``` + conda install -c conda-forge datashader ```
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VisPy (πŸ₯ˆ32 Β· ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3 +
VisPy (πŸ₯ˆ34 Β· ⭐ 3.3K) - High-performance interactive 2D/3D data visualization library. BSD-3 - [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 620 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 09.11.2024): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“¦ 170 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 920K / month Β· πŸ“¦ 170 Β· ⏱️ 17.06.2024): ``` pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 650K Β· ⏱️ 04.09.2024): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 660K Β· ⏱️ 04.09.2024): ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 19 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 16 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
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D-Tale (πŸ₯ˆ31 Β· ⭐ 4.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1 +
Perspective (πŸ₯ˆ33 Β· ⭐ 8.6K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 410 Β· πŸ“¦ 1.3K Β· πŸ“‹ 590 - 10% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“₯ 7.1K Β· πŸ“¦ 160 Β· πŸ“‹ 840 - 13% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/man-group/dtale + git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 98K / month Β· πŸ“¦ 48 Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 19K / month Β· πŸ“¦ 28 Β· ⏱️ 10.12.2024): ``` - pip install dtale + pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 360K Β· ⏱️ 03.12.2024): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 1.4M Β· ⏱️ 12.12.2024): ``` - conda install -c conda-forge dtale + conda install -c conda-forge perspective + ``` +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 2.7K / month Β· πŸ“¦ 6 Β· ⏱️ 10.12.2024): + ``` + npm install @finos/perspective-jupyterlab ```
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hvPlot (πŸ₯ˆ31 Β· ⭐ 1.1K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 +
hvPlot (πŸ₯ˆ32 Β· ⭐ 1.2K) - A high-level plotting API for pandas, dask, xarray, and networkx built.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 6.2K Β· πŸ“‹ 820 - 44% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 110 Β· πŸ“¦ 6.2K Β· πŸ“‹ 830 - 44% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“¦ 200 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 200K / month Β· πŸ“¦ 200 Β· ⏱️ 16.10.2024): ``` pip install hvplot ``` @@ -1127,30 +1127,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hvplot ```
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Graphviz (πŸ₯ˆ30 Β· ⭐ 1.7K Β· πŸ’€) - Simple Python interface for Graphviz. MIT +
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.8K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 210 Β· πŸ“¦ 78K Β· πŸ“‹ 180 - 6% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 410 Β· πŸ“¦ 1.3K Β· πŸ“‹ 590 - 10% open Β· ⏱️ 03.12.2024): ``` - git clone https://github.com/xflr6/graphviz + git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“¦ 2.6K Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 98K / month Β· πŸ“¦ 48 Β· ⏱️ 03.12.2024): ``` - pip install graphviz + pip install dtale ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 51K Β· ⏱️ 08.04.2024): +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 360K Β· ⏱️ 03.12.2024): ``` - conda install -c anaconda python-graphviz + conda install -c conda-forge dtale ```
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mpld3 (πŸ₯‰29 Β· ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 +
mpld3 (πŸ₯ˆ31 Β· ⭐ 2.4K) - An interactive data visualization tool which brings matplotlib graphics to.. BSD-3 - [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 6.8K Β· πŸ“‹ 370 - 59% open Β· ⏱️ 30.10.2024): ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“¦ 150 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 330K / month Β· πŸ“¦ 150 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1158,19 +1158,31 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 920 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1K / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
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bqplot (πŸ₯‰28 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 +
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT + +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 52 Β· πŸ“₯ 1.4K Β· πŸ“¦ 150 Β· πŸ“‹ 650 - 23% open Β· ⏱️ 12.12.2024): + + ``` + git clone https://github.com/JetBrains/lets-plot + ``` +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 52K / month Β· πŸ“¦ 14 Β· ⏱️ 27.11.2024): + ``` + pip install lets-plot + ``` +
+
bqplot (πŸ₯‰29 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 - [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 460 Β· πŸ“¦ 59 Β· πŸ“‹ 640 - 42% open Β· ⏱️ 22.10.2024): ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“¦ 99 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 220K / month Β· πŸ“¦ 99 Β· ⏱️ 25.03.2024): ``` pip install bqplot ``` @@ -1183,18 +1195,6 @@ _General-purpose and task-specific data visualization libraries._ npm install bqplot ```
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lets-plot (πŸ₯‰28 Β· ⭐ 1.6K) - Multiplatform plotting library based on the Grammar of Graphics. MIT - -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 52 Β· πŸ“₯ 1.3K Β· πŸ“¦ 140 Β· πŸ“‹ 640 - 23% open Β· ⏱️ 04.12.2024): - - ``` - git clone https://github.com/JetBrains/lets-plot - ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“¦ 14 Β· ⏱️ 27.11.2024): - ``` - pip install lets-plot - ``` -
Chartify (πŸ₯‰27 Β· ⭐ 3.5K) - Python library that makes it easy for data scientists to create.. Apache-2 - [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 320 Β· πŸ“¦ 80 Β· πŸ“‹ 83 - 61% open Β· ⏱️ 16.10.2024): @@ -1211,30 +1211,70 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge chartify ```
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openTSNE (πŸ₯‰26 Β· ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3 +
openTSNE (πŸ₯‰27 Β· ⭐ 1.5K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 160 Β· πŸ“¦ 930 Β· πŸ“‹ 140 - 5% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 160 Β· πŸ“¦ 940 Β· πŸ“‹ 140 - 5% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“¦ 47 Β· ⏱️ 13.08.2024): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 49K / month Β· πŸ“¦ 47 Β· ⏱️ 13.08.2024): ``` pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 340K Β· ⏱️ 16.11.2024): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 350K Β· ⏱️ 16.11.2024): ``` conda install -c conda-forge opentsne ```
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AutoViz (πŸ₯‰24 Β· ⭐ 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
HyperTools (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT + +- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 57 Β· πŸ“¦ 490 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): + + ``` + git clone https://github.com/ContextLab/hypertools + ``` +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): + ``` + pip install hypertools + ``` +
+
Plotly-Resampler (πŸ₯‰26 Β· ⭐ 1.1K) - Visualize large time series data with plotly.py. MIT + +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 69 Β· πŸ“¦ 1.6K Β· πŸ“‹ 170 - 32% open Β· ⏱️ 06.12.2024): + + ``` + git clone https://github.com/predict-idlab/plotly-resampler + ``` +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 490K / month Β· πŸ“¦ 24 Β· ⏱️ 27.03.2024): + ``` + pip install plotly-resampler + ``` +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 80K Β· ⏱️ 05.12.2024): + ``` + conda install -c conda-forge plotly-resampler + ``` +
+
data-validation (πŸ₯‰26 Β· ⭐ 770) - Library for exploring and validating machine learning.. Apache-2 + +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“₯ 910 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 20.11.2024): + + ``` + git clone https://github.com/tensorflow/data-validation + ``` +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 160K / month Β· πŸ“¦ 31 Β· ⏱️ 15.10.2024): + ``` + pip install tensorflow-data-validation + ``` +
+
AutoViz (πŸ₯‰25 Β· ⭐ 1.7K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 - [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 790 Β· πŸ“‹ 95 - 4% open Β· ⏱️ 10.06.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“¦ 11 Β· ⏱️ 10.06.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 21K / month Β· πŸ“¦ 11 Β· ⏱️ 10.06.2024): ``` pip install autoviz ``` @@ -1250,7 +1290,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 17K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 18K / month Β· πŸ“¦ 32 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1266,11 +1306,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 9.5K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 8.9K / month Β· πŸ“¦ 17 Β· ⏱️ 25.09.2024): ``` pip install vega ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 670K Β· ⏱️ 25.09.2024): +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 680K Β· ⏱️ 25.09.2024): ``` conda install -c conda-forge vega ``` @@ -1282,23 +1322,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 1.6K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 1.5K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 56K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 57K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ```
vegafusion (πŸ₯‰23 Β· ⭐ 340) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 18 Β· πŸ“₯ 8.3K Β· πŸ“‹ 140 - 35% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/vega/vegafusion) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 18 Β· πŸ“₯ 8.7K Β· πŸ“‹ 140 - 35% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/vegafusion/vegafusion ``` -- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 2.2K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/vegafusion-jupyter) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 09.05.2024): ``` pip install vegafusion-jupyter ``` @@ -1306,49 +1346,21 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vegafusion-python-embed ``` -- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 200 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): +- [npm](https://www.npmjs.com/package/vegafusion-jupyter) (πŸ“₯ 190 / month Β· πŸ“¦ 3 Β· ⏱️ 09.05.2024): ``` npm install vegafusion-jupyter ```
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HyperTools (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT - -- [GitHub](https://github.com/ContextLab/hypertools) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“₯ 57 Β· πŸ“¦ 490 Β· πŸ“‹ 200 - 34% open Β· ⏱️ 19.03.2024): - - ``` - git clone https://github.com/ContextLab/hypertools - ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“¦ 2 Β· ⏱️ 12.02.2022): - ``` - pip install hypertools - ``` -
-
Plotly-Resampler (πŸ₯‰22 Β· ⭐ 1K) - Visualize large time series data with plotly.py. MIT - -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 68 Β· πŸ“¦ 1.6K Β· πŸ“‹ 170 - 32% open Β· ⏱️ 28.10.2024): - - ``` - git clone https://github.com/predict-idlab/plotly-resampler - ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“¦ 24 Β· ⏱️ 27.03.2024): - ``` - pip install plotly-resampler - ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 79K Β· ⏱️ 29.03.2024): - ``` - conda install -c conda-forge plotly-resampler - ``` -
-
data-validation (πŸ₯‰21 Β· ⭐ 770 Β· πŸ“‰) - Library for exploring and validating machine learning.. Apache-2 +
ivis (πŸ₯‰22 Β· ⭐ 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 170 Β· πŸ“₯ 910 Β· πŸ“‹ 180 - 21% open Β· ⏱️ 20.11.2024): +- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 36 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 29.09.2024): ``` - git clone https://github.com/tensorflow/data-validation + git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“¦ 31 Β· ⏱️ 15.10.2024): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 13.06.2024): ``` - pip install tensorflow-data-validation + pip install ivis ```
PyWaffle (πŸ₯‰21 Β· ⭐ 590) - Make Waffle Charts in Python. MIT @@ -1358,7 +1370,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/gyli/PyWaffle ``` -- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 8.4K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): +- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 9.5K / month Β· πŸ“¦ 6 Β· ⏱️ 16.06.2024): ``` pip install pywaffle ``` @@ -1374,7 +1386,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/t-makaro/animatplot ``` -- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): +- [PyPi](https://pypi.org/project/animatplot) (πŸ“₯ 980 / month Β· πŸ“¦ 4 Β· ⏱️ 29.08.2024): ``` pip install animatplot ``` @@ -1383,36 +1395,24 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge animatplot ```
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ivis (πŸ₯‰19 Β· ⭐ 330) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - -- [GitHub](https://github.com/beringresearch/ivis) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“¦ 36 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 29.09.2024): - - ``` - git clone https://github.com/beringresearch/ivis - ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“¦ 2 Β· ⏱️ 13.06.2024): - ``` - pip install ivis - ``` -
Show 17 hidden projects... -- missingno (πŸ₯ˆ30 Β· ⭐ 4K Β· πŸ’€) - Missing data visualization module for Python. MIT +- missingno (πŸ₯‰30 Β· ⭐ 4K Β· πŸ’€) - Missing data visualization module for Python. MIT +- Cufflinks (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - pythreejs (πŸ₯‰28 Β· ⭐ 950 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 +- Facets Overview (πŸ₯‰27 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 - Sweetviz (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT -- Cufflinks (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT +- ridgeplot (πŸ₯‰25 Β· ⭐ 160) - Beautiful ridgeline plots in Python. MIT - HiPlot (πŸ₯‰24 Β· ⭐ 2.8K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT -- ridgeplot (πŸ₯‰24 Β· ⭐ 150 Β· βž•) - Beautiful ridgeline plots in Python. MIT -- Facets Overview (πŸ₯‰23 Β· ⭐ 7.4K Β· πŸ’€) - Visualizations for machine learning datasets. Apache-2 -- PandasGUI (πŸ₯‰22 Β· ⭐ 3.2K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 +- PandasGUI (πŸ₯‰23 Β· ⭐ 3.2K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 +- Pandas-Bokeh (πŸ₯‰23 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - pivottablejs (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT +- PDPbox (πŸ₯‰20 Β· ⭐ 850 Β· πŸ’€) - python partial dependence plot toolbox. MIT - Popmon (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Monitor the stability of a Pandas or Spark dataframe. MIT -- Pandas-Bokeh (πŸ₯‰19 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- PDPbox (πŸ₯‰18 Β· ⭐ 840 Β· πŸ’€) - python partial dependence plot toolbox. MIT -- pdvega (πŸ₯‰15 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT -- data-describe (πŸ₯‰13 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 -- nx-altair (πŸ₯‰13 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT +- pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT +- nx-altair (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT +- data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nptsne (πŸ₯‰13 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1425,78 +1425,94 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡52 Β· ⭐ 140K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 27K Β· πŸ“¦ 250K Β· πŸ“‹ 17K - 8% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 27K Β· πŸ“¦ 250K Β· πŸ“‹ 17K - 8% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 46M / month Β· πŸ“¦ 6.9K Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 47M / month Β· πŸ“¦ 7K Β· ⏱️ 05.12.2024): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.3M Β· ⏱️ 19.11.2024): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 2.3M Β· ⏱️ 11.12.2024): ``` conda install -c conda-forge transformers ```
+
spaCy (πŸ₯‡45 Β· ⭐ 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT + +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 910 Β· πŸ“¦ 110K Β· πŸ“‹ 5.7K - 2% open Β· ⏱️ 11.12.2024): + + ``` + git clone https://github.com/explosion/spaCy + ``` +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 15M / month Β· πŸ“¦ 2.8K Β· ⏱️ 11.12.2024): + ``` + pip install spacy + ``` +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 4.7M Β· ⏱️ 24.11.2024): + ``` + conda install -c conda-forge spacy + ``` +
litellm (πŸ₯‡44 Β· ⭐ 15K) - Python SDK, Proxy Server (LLM Gateway) to call 100+.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.7K Β· πŸ“₯ 470 Β· πŸ“¦ 5K Β· πŸ“‹ 3.9K - 22% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.8K Β· πŸ“₯ 470 Β· πŸ“¦ 5.1K Β· πŸ“‹ 3.9K - 23% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 3.6M / month Β· πŸ“¦ 590 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 3.5M / month Β· πŸ“¦ 600 Β· ⏱️ 09.12.2024): ``` pip install litellm ```
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spaCy (πŸ₯‡43 Β· ⭐ 30K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
nltk (πŸ₯‡44 Β· ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 4.4K Β· πŸ“₯ 780 Β· πŸ“¦ 110K Β· πŸ“‹ 5.7K - 2% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.9K Β· πŸ“¦ 330K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 11.11.2024): ``` - git clone https://github.com/explosion/spaCy + git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“¦ 2.7K Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 25M / month Β· πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): ``` - pip install spacy + pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 4.6M Β· ⏱️ 24.11.2024): +- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.9M Β· ⏱️ 18.08.2024): ``` - conda install -c conda-forge spacy + conda install -c conda-forge nltk ```
-
sentence-transformers (πŸ₯‡41 Β· ⭐ 15K) - State-of-the-Art Text Embeddings. Apache-2 +
sentence-transformers (πŸ₯‡41 Β· ⭐ 16K) - State-of-the-Art Text Embeddings. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“¦ 58K Β· πŸ“‹ 2.3K - 52% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.5K Β· πŸ“¦ 60K Β· πŸ“‹ 2.3K - 52% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 7.4M / month Β· πŸ“¦ 1.8K Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 7.8M / month Β· πŸ“¦ 1.8K Β· ⏱️ 18.11.2024): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 480K Β· ⏱️ 18.11.2024): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (πŸ“₯ 490K Β· ⏱️ 18.11.2024): ``` conda install -c conda-forge sentence-transformers ```
-
nltk (πŸ₯‡41 Β· ⭐ 14K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
flair (πŸ₯‡40 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 2.9K Β· πŸ“¦ 330K Β· πŸ“‹ 1.8K - 14% open Β· ⏱️ 11.11.2024): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.3K - 5% open Β· ⏱️ 06.12.2024): ``` - git clone https://github.com/nltk/nltk + git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“¦ 4.7K Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 98K / month Β· πŸ“¦ 140 Β· ⏱️ 25.07.2024): ``` - pip install nltk + pip install flair ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (πŸ“₯ 2.9M Β· ⏱️ 18.08.2024): +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 35K Β· ⏱️ 05.01.2024): ``` - conda install -c conda-forge nltk + conda install -c conda-forge python-flair ```
Tokenizers (πŸ₯‡40 Β· ⭐ 9.1K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 @@ -1506,7 +1522,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 35M / month Β· πŸ“¦ 1.1K Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 36M / month Β· πŸ“¦ 1.1K Β· ⏱️ 27.11.2024): ``` pip install tokenizers ``` @@ -1515,6 +1531,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge tokenizers ```
+
gensim (πŸ₯‡39 Β· ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1 + +- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 5.2K Β· πŸ“¦ 68K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 10.08.2024): + + ``` + git clone https://github.com/RaRe-Technologies/gensim + ``` +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4.8M / month Β· πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): + ``` + pip install gensim + ``` +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.5M Β· ⏱️ 03.09.2024): + ``` + conda install -c conda-forge gensim + ``` +
+
sentencepiece (πŸ₯‡38 Β· ⭐ 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 + +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“₯ 47K Β· πŸ“¦ 87K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 18.08.2024): + + ``` + git clone https://github.com/google/sentencepiece + ``` +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 26M / month Β· πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): + ``` + pip install sentencepiece + ``` +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 1.2M Β· ⏱️ 25.11.2024): + ``` + conda install -c conda-forge sentencepiece + ``` +
fairseq (πŸ₯‡37 Β· ⭐ 31K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT - [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 6.4K Β· πŸ“₯ 370 Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 18.10.2024): @@ -1538,70 +1586,54 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 180K / month Β· πŸ“¦ 60 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 200K / month Β· πŸ“¦ 60 Β· ⏱️ 18.04.2024): ``` pip install rasa ```
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flair (πŸ₯‡37 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT - -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.3K - 5% open Β· ⏱️ 29.11.2024): - - ``` - git clone https://github.com/flairNLP/flair - ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“¦ 140 Β· ⏱️ 25.07.2024): - ``` - pip install flair - ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 35K Β· ⏱️ 05.01.2024): - ``` - conda install -c conda-forge python-flair - ``` -
NeMo (πŸ₯‡37 Β· ⭐ 12K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 2.5K Β· πŸ“₯ 260K Β· πŸ“¦ 21 Β· πŸ“‹ 2.4K - 6% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 2.6K Β· πŸ“₯ 270K Β· πŸ“¦ 21 Β· πŸ“‹ 2.4K - 5% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 210K / month Β· πŸ“¦ 13 Β· ⏱️ 14.11.2024): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 210K / month Β· πŸ“¦ 13 Β· ⏱️ 11.12.2024): ``` pip install nemo-toolkit ```
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gensim (πŸ₯‡36 Β· ⭐ 16K) - Topic Modelling for Humans. ❗️LGPL-2.1 +
TextBlob (πŸ₯ˆ36 Β· ⭐ 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 4.4K Β· πŸ“₯ 5.2K Β· πŸ“¦ 68K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 10.08.2024): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 120 Β· πŸ“¦ 46K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 07.08.2024): ``` - git clone https://github.com/RaRe-Technologies/gensim + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“¦ 1.4K Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.3M / month Β· πŸ“¦ 390 Β· ⏱️ 15.02.2024): ``` - pip install gensim + pip install textblob ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.4M Β· ⏱️ 03.09.2024): +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge gensim + conda install -c conda-forge textblob ```
haystack (πŸ₯ˆ35 Β· ⭐ 18K) - AI orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.9K Β· πŸ“¦ 670 Β· πŸ“‹ 3.6K - 2% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 1.9K Β· πŸ“¦ 690 Β· πŸ“‹ 3.6K - 2% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6.4K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 6.5K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
spark-nlp (πŸ₯ˆ35 Β· ⭐ 3.9K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“¦ 530 Β· πŸ“‹ 900 - 4% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“¦ 530 Β· πŸ“‹ 910 - 4% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1613,24 +1645,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 340 Β· πŸ“¦ 7.7K Β· πŸ“‹ 360 - 52% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 350 Β· πŸ“¦ 7.7K Β· πŸ“‹ 360 - 52% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 8.3M / month Β· πŸ“¦ 220 Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 9.5M / month Β· πŸ“¦ 220 Β· ⏱️ 28.10.2024): ``` pip install tensorflow-text ```
fastText (πŸ₯ˆ34 Β· ⭐ 26K Β· πŸ’€) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 6.9K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 4.7K Β· πŸ“¦ 7K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.8M / month Β· πŸ“¦ 250 Β· ⏱️ 12.06.2024): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.6M / month Β· πŸ“¦ 250 Β· ⏱️ 12.06.2024): ``` pip install fasttext ``` @@ -1639,30 +1671,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fasttext ```
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sentencepiece (πŸ₯ˆ34 Β· ⭐ 10K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 - -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.2K Β· πŸ“₯ 46K Β· πŸ“¦ 86K Β· πŸ“‹ 760 - 5% open Β· ⏱️ 18.08.2024): - - ``` - git clone https://github.com/google/sentencepiece - ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“¦ 1.7K Β· ⏱️ 19.02.2024): - ``` - pip install sentencepiece - ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 1.1M Β· ⏱️ 25.11.2024): - ``` - conda install -c conda-forge sentencepiece - ``` -
rubrix (πŸ₯ˆ34 Β· ⭐ 4.1K) - Argilla is a collaboration tool for AI engineers and domain experts.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 380 Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 380 Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.2K - 4% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 2.3K / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 2.5K / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` @@ -1673,58 +1689,70 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (πŸ₯ˆ33 Β· ⭐ 21K) - Qdrant - High-performance, massive-scale Vector Database and Vector.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“₯ 260K Β· πŸ“¦ 120 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“₯ 270K Β· πŸ“¦ 120 Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/qdrant/qdrant ```
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TextBlob (πŸ₯ˆ33 Β· ⭐ 9.2K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
ftfy (πŸ₯ˆ33 Β· ⭐ 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1.2K Β· πŸ“₯ 120 Β· πŸ“¦ 46K Β· πŸ“‹ 280 - 39% open Β· ⏱️ 07.08.2024): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 120 Β· πŸ“₯ 25 Β· πŸ“¦ 25K Β· πŸ“‹ 140 - 5% open Β· ⏱️ 30.10.2024): ``` - git clone https://github.com/sloria/TextBlob + git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“¦ 390 Β· ⏱️ 15.02.2024): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.9M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): ``` - pip install textblob + pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 310K Β· ⏱️ 26.10.2024): ``` - conda install -c conda-forge textblob + conda install -c conda-forge ftfy ```
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stanza (πŸ₯ˆ33 Β· ⭐ 7.3K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 +
torchtext (πŸ₯ˆ33 Β· ⭐ 3.5K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 900 Β· πŸ“¦ 3.3K Β· πŸ“‹ 910 - 11% open Β· ⏱️ 12.09.2024): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 850 - 39% open Β· ⏱️ 14.08.2024): ``` - git clone https://github.com/stanfordnlp/stanza + git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 270K / month Β· πŸ“¦ 180 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 1.1M / month Β· πŸ“¦ 280 Β· ⏱️ 24.04.2024): ``` - pip install stanza + pip install torchtext ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 8.2K Β· ⏱️ 16.06.2023): +
+
jellyfish (πŸ₯ˆ33 Β· ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT + +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 160 Β· πŸ“¦ 12K Β· πŸ“‹ 140 - 4% open Β· ⏱️ 11.12.2024): + ``` - conda install -c stanfordnlp stanza + git clone https://github.com/jamesturk/jellyfish + ``` +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 6.7M / month Β· πŸ“¦ 280 Β· ⏱️ 03.12.2024): + ``` + pip install jellyfish + ``` +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 1.1M Β· ⏱️ 04.12.2024): + ``` + conda install -c conda-forge jellyfish ```
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ftfy (πŸ₯ˆ33 Β· ⭐ 3.8K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 +
stanza (πŸ₯ˆ32 Β· ⭐ 7.3K Β· πŸ“‰) - Stanford NLP Python library for tokenization, sentence.. Apache-2 -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 120 Β· πŸ“₯ 24 Β· πŸ“¦ 25K Β· πŸ“‹ 140 - 5% open Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 900 Β· πŸ“¦ 3.3K Β· πŸ“‹ 910 - 11% open Β· ⏱️ 12.09.2024): ``` - git clone https://github.com/rspeer/python-ftfy + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.9M / month Β· πŸ“¦ 570 Β· ⏱️ 26.10.2024): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 260K / month Β· πŸ“¦ 180 Β· ⏱️ 12.09.2024): ``` - pip install ftfy + pip install stanza ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 310K Β· ⏱️ 26.10.2024): +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 8.3K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge ftfy + conda install -c stanfordnlp stanza ```
OpenNMT (πŸ₯ˆ32 Β· ⭐ 6.8K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT @@ -1751,9 +1779,25 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install deeppavlov ```
+
snowballstemmer (πŸ₯ˆ31 Β· ⭐ 760) - Snowball compiler and stemming algorithms. BSD-3 + +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 90 - 27% open Β· ⏱️ 20.11.2024): + + ``` + git clone https://github.com/snowballstem/snowball + ``` +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 31M / month Β· πŸ“¦ 450 Β· ⏱️ 16.11.2021): + ``` + pip install snowballstemmer + ``` +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge snowballstemmer + ``` +
Dedupe (πŸ₯ˆ30 Β· ⭐ 4.2K) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 550 Β· πŸ“¦ 340 Β· πŸ“‹ 820 - 8% open Β· ⏱️ 01.11.2024): +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 550 Β· πŸ“¦ 340 Β· πŸ“‹ 820 - 9% open Β· ⏱️ 01.11.2024): ``` git clone https://github.com/dedupeio/dedupe @@ -1762,28 +1806,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 84K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 85K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dedupe ```
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jellyfish (πŸ₯ˆ30 Β· ⭐ 2.1K) - a python library for doing approximate and phonetic matching of strings. MIT +
SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 160 Β· πŸ“¦ 12K Β· πŸ“‹ 140 - 4% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 230 Β· πŸ“¦ 1K Β· πŸ“‹ 320 - 9% open Β· ⏱️ 23.11.2024): ``` - git clone https://github.com/jamesturk/jellyfish + git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“¦ 280 Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 21K / month Β· πŸ“¦ 34 Β· ⏱️ 27.10.2024): ``` - pip install jellyfish + pip install scispacy ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 1.1M Β· ⏱️ 04.12.2024): +
+
TextDistance (πŸ₯ˆ29 Β· ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT + +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 250 Β· πŸ“₯ 1K Β· πŸ“¦ 7.5K Β· ⏱️ 09.09.2024): + ``` - conda install -c conda-forge jellyfish + git clone https://github.com/life4/textdistance + ``` +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 790K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): + ``` + pip install textdistance + ``` +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 690K Β· ⏱️ 17.07.2024): + ``` + conda install -c conda-forge textdistance ```
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spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.4K Β· πŸ“ˆ) - Use pretrained transformers like BERT, XLNet and.. MIT spacy +
spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.4K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy - [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 170 Β· πŸ“¦ 2K Β· ⏱️ 05.06.2024): @@ -1794,7 +1850,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 76K Β· ⏱️ 03.12.2024): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 77K Β· ⏱️ 11.12.2024): ``` conda install -c conda-forge spacy-transformers ``` @@ -1806,7 +1862,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 290K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 230K / month Β· πŸ“¦ 31 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` @@ -1815,94 +1871,74 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sumy ```
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TextDistance (πŸ₯ˆ28 Β· ⭐ 3.4K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 250 Β· πŸ“₯ 1K Β· πŸ“¦ 7.5K Β· ⏱️ 09.09.2024): - - ``` - git clone https://github.com/life4/textdistance - ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 810K / month Β· πŸ“¦ 99 Β· ⏱️ 16.07.2024): - ``` - pip install textdistance - ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 680K Β· ⏱️ 17.07.2024): - ``` - conda install -c conda-forge textdistance - ``` -
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snowballstemmer (πŸ₯ˆ28 Β· ⭐ 760) - Snowball compiler and stemming algorithms. BSD-3 +
CLTK (πŸ₯ˆ28 Β· ⭐ 840) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 170 Β· πŸ“¦ 10 Β· πŸ“‹ 90 - 27% open Β· ⏱️ 20.11.2024): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 100 Β· πŸ“¦ 280 Β· πŸ“‹ 580 - 6% open Β· ⏱️ 01.12.2024): ``` - git clone https://github.com/snowballstem/snowball - ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“¦ 450 Β· ⏱️ 16.11.2021): - ``` - pip install snowballstemmer + git clone https://github.com/cltk/cltk ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 9M Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 6.4K / month Β· πŸ“¦ 17 Β· ⏱️ 01.12.2024): ``` - conda install -c conda-forge snowballstemmer + pip install cltk ```
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torchtext (πŸ₯ˆ27 Β· ⭐ 3.5K Β· πŸ“‰) - Models, data loaders and abstractions for language.. BSD-3 +
DeepKE (πŸ₯ˆ27 Β· ⭐ 3.6K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 850 - 39% open Β· ⏱️ 14.08.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 680 Β· πŸ“¦ 24 Β· πŸ“‹ 580 - 1% open Β· ⏱️ 29.11.2024): ``` - git clone https://github.com/pytorch/text + git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“¦ 280 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 2.1K / month Β· ⏱️ 21.09.2023): ``` - pip install torchtext + pip install deepke ```
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PyTextRank (πŸ₯ˆ26 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT +
Opik (πŸ₯ˆ27 Β· ⭐ 2.5K) - Open-source end-to-end LLM Development Platform. Apache-2 -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 760 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): +- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 160 Β· πŸ“‹ 110 - 27% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/DerwenAI/pytextrank + git clone https://github.com/comet-ml/opik ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 120K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/opik) (πŸ“₯ 11K / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2024): ``` - pip install pytextrank + pip install opik ```
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SciSpacy (πŸ₯ˆ26 Β· ⭐ 1.7K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 +
english-words (πŸ₯‰26 Β· ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 230 Β· πŸ“¦ 1K Β· πŸ“‹ 320 - 9% open Β· ⏱️ 23.11.2024): +- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 1.8K Β· πŸ“¦ 2 Β· πŸ“‹ 150 - 74% open Β· ⏱️ 11.12.2024): ``` - git clone https://github.com/allenai/scispacy + git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“¦ 34 Β· ⏱️ 27.10.2024): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 53K / month Β· πŸ“¦ 14 Β· ⏱️ 24.05.2023): ``` - pip install scispacy + pip install english-words ```
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DeepKE (πŸ₯‰24 Β· ⭐ 3.6K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT +
PyTextRank (πŸ₯‰26 Β· ⭐ 2.2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 680 Β· πŸ“¦ 24 Β· πŸ“‹ 580 - 1% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 760 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 21.05.2024): ``` - git clone https://github.com/zjunlp/deepke + git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/deepke) (⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 110K / month Β· πŸ“¦ 19 Β· ⏱️ 21.02.2024): ``` - pip install deepke + pip install pytextrank ```
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scattertext (πŸ₯‰24 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 +
scattertext (πŸ₯‰25 Β· ⭐ 2.3K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 290 Β· πŸ“¦ 640 Β· πŸ“‹ 100 - 21% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“¦ 5 Β· ⏱️ 23.09.2024): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 13K / month Β· πŸ“¦ 5 Β· ⏱️ 23.09.2024): ``` pip install scattertext ``` @@ -1911,40 +1947,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge scattertext ```
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CLTK (πŸ₯‰24 Β· ⭐ 840) - The Classical Language Toolkit. MIT - -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 100 Β· πŸ“¦ 280 Β· πŸ“‹ 580 - 6% open Β· ⏱️ 01.12.2024): - - ``` - git clone https://github.com/cltk/cltk - ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“¦ 17 Β· ⏱️ 01.12.2024): - ``` - pip install cltk - ``` -
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Opik (πŸ₯‰23 Β· ⭐ 2.5K) - Open-source end-to-end LLM Development Platform. Apache-2 - -- [GitHub](https://github.com/comet-ml/opik) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 150 Β· πŸ“‹ 100 - 28% open Β· ⏱️ 05.12.2024): - - ``` - git clone https://github.com/comet-ml/opik - ``` -- [PyPi](https://pypi.org/project/opik) (πŸ“¦ 1 Β· ⏱️ 05.12.2024): - ``` - pip install opik - ``` -
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english-words (πŸ₯‰22 Β· ⭐ 11K) - A text file containing 479k English words for all your.. Unlicense +
T5 (πŸ₯‰23 Β· ⭐ 6.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 1.8K Β· πŸ“¦ 2 Β· πŸ“‹ 150 - 75% open Β· ⏱️ 16.06.2024): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 750 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 28.06.2024): ``` - git clone https://github.com/dwyl/english-words + git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“¦ 14 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` - pip install english-words + pip install t5 ```
fast-bert (πŸ₯‰22 Β· ⭐ 1.9K) - Super easy library for BERT based NLP models. Apache-2 @@ -1954,97 +1966,85 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 3.8K / month Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 3.3K / month Β· ⏱️ 19.08.2024): ``` pip install fast-bert ```
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detoxify (πŸ₯‰21 Β· ⭐ 970) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 750K Β· πŸ“¦ 740 Β· πŸ“‹ 66 - 56% open Β· ⏱️ 19.09.2024): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 320 Β· πŸ“₯ 21 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 24.10.2024): ``` - git clone https://github.com/unitaryai/detoxify + git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“¦ 30 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 2.2K / month Β· ⏱️ 03.03.2023): ``` - pip install detoxify + pip install sockeye ```
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small-text (πŸ₯‰21 Β· ⭐ 600) - Active Learning for Text Classification in Python. MIT +
finetune (πŸ₯‰22 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 65 Β· πŸ“¦ 33 Β· πŸ“‹ 60 - 25% open Β· ⏱️ 24.11.2024): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 13 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 23.07.2024): ``` - git clone https://github.com/webis-de/small-text - ``` -- [PyPi](https://pypi.org/project/small-text) (⏱️ 24.11.2024): - ``` - pip install small-text + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 11K Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 800 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` - conda install -c conda-forge small-text + pip install finetune ```
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UForm (πŸ₯‰20 Β· ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 +
small-text (πŸ₯‰22 Β· ⭐ 600) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 62 Β· πŸ“₯ 470 Β· πŸ“¦ 6 Β· πŸ“‹ 30 - 30% open Β· ⏱️ 01.10.2024): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 66 Β· πŸ“¦ 33 Β· πŸ“‹ 62 - 27% open Β· ⏱️ 24.11.2024): ``` - git clone https://github.com/unum-cloud/uform - ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): + git clone https://github.com/webis-de/small-text ``` - pip install uform +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 920 / month Β· ⏱️ 24.11.2024): ``` -
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finetune (πŸ₯‰20 Β· ⭐ 700) - Scikit-learn style model finetuning for NLP. MPL-2.0 - -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 79 Β· πŸ“¦ 13 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 23.07.2024): - - ``` - git clone https://github.com/IndicoDataSolutions/finetune + pip install small-text ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 11K Β· ⏱️ 18.08.2024): ``` - pip install finetune + conda install -c conda-forge small-text ```
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T5 (πŸ₯‰19 Β· ⭐ 6.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
happy-transformer (πŸ₯‰22 Β· ⭐ 520 Β· πŸ’€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 750 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 28.06.2024): +- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 67 Β· πŸ“¦ 300 Β· πŸ“‹ 130 - 15% open Β· ⏱️ 19.03.2024): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` - pip install t5 + pip install happytransformer ```
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happy-transformer (πŸ₯‰19 Β· ⭐ 520 Β· πŸ’€) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
detoxify (πŸ₯‰21 Β· ⭐ 980) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 67 Β· πŸ“¦ 290 Β· πŸ“‹ 130 - 15% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 120 Β· πŸ“₯ 760K Β· πŸ“¦ 740 Β· πŸ“‹ 66 - 56% open Β· ⏱️ 19.09.2024): ``` - git clone https://github.com/EricFillion/happy-transformer + git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 39K / month Β· πŸ“¦ 30 Β· ⏱️ 01.02.2024): ``` - pip install happytransformer + pip install detoxify ```
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Sockeye (πŸ₯‰18 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
UForm (πŸ₯‰20 Β· ⭐ 1.1K) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 320 Β· πŸ“₯ 21 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 62 Β· πŸ“₯ 480 Β· πŸ“¦ 6 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 01.10.2024): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/sockeye) (⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): ``` - pip install sockeye + pip install uform ```
OpenNRE (πŸ₯‰16 Β· ⭐ 4.4K Β· πŸ’€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT @@ -2069,62 +2069,62 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Show 56 hidden projects... -- AllenNLP (πŸ₯ˆ34 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 -- ChatterBot (πŸ₯ˆ30 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 -- ParlAI (πŸ₯ˆ29 Β· ⭐ 10K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT +- AllenNLP (πŸ₯ˆ36 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 +- ChatterBot (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 +- ParlAI (πŸ₯ˆ32 Β· ⭐ 10K Β· πŸ’€) - A framework for training and evaluating AI models on a variety of.. MIT +- fuzzywuzzy (πŸ₯ˆ31 Β· ⭐ 9.2K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 +- nlpaug (πŸ₯ˆ29 Β· ⭐ 4.5K Β· πŸ’€) - Data augmentation for NLP. MIT - GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 -- fuzzywuzzy (πŸ₯ˆ27 Β· ⭐ 9.2K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 +- fastNLP (πŸ₯ˆ28 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 +- langid (πŸ₯ˆ28 Β· ⭐ 2.3K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- Ciphey (πŸ₯ˆ27 Β· ⭐ 18K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT +- vaderSentiment (πŸ₯ˆ27 Β· ⭐ 4.5K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - textacy (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed - FARM (πŸ₯ˆ27 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - underthesea (πŸ₯ˆ27 Β· ⭐ 1.4K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 -- flashtext (πŸ₯ˆ26 Β· ⭐ 5.6K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT -- nlpaug (πŸ₯ˆ26 Β· ⭐ 4.5K Β· πŸ’€) - Data augmentation for NLP. MIT -- polyglot (πŸ₯ˆ26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- pySBD (πŸ₯ˆ26 Β· ⭐ 810 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- Ciphey (πŸ₯‰25 Β· ⭐ 18K Β· πŸ’€) - Automatically decrypt encryptions without knowing the key or cipher,.. MIT +- flashtext (πŸ₯‰26 Β· ⭐ 5.6K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 +- pySBD (πŸ₯‰26 Β· ⭐ 820 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 +- OpenPrompt (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.9K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- vaderSentiment (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT - MatchZoo (πŸ₯‰24 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - promptsource (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 +- Kashgari (πŸ₯‰24 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 +- pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 - sense2vec (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT -- fastNLP (πŸ₯‰23 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 -- langid (πŸ₯‰23 Β· ⭐ 2.3K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - jiant (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT - YouTokenToMe (πŸ₯‰23 Β· ⭐ 960 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT -- OpenPrompt (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - An Open-Source Framework for Prompt-Learning. Apache-2 +- whoosh (πŸ₯‰23 Β· ⭐ 590 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause +- gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - NLP Architect (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - Texthero (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT -- Kashgari (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 -- whoosh (πŸ₯‰22 Β· ⭐ 590 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause -- Texar (πŸ₯‰21 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 -- pytorch-nlp (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 +- Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 +- stop-words (πŸ₯‰22 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - DeepMatcher (πŸ₯‰20 Β· ⭐ 5.1K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 +- lightseq (πŸ₯‰20 Β· ⭐ 3.2K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 - DELTA (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - textpipe (πŸ₯‰20 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- gpt-2-simple (πŸ₯‰19 Β· ⭐ 3.4K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT +- numerizer (πŸ₯‰20 Β· ⭐ 230) - A Python module to convert natural language numerics into ints and.. MIT +- Camphr (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - pyfasttext (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰18 Β· ⭐ 680 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - fastT5 (πŸ₯‰18 Β· ⭐ 570 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textaugment (πŸ₯‰18 Β· ⭐ 410 Β· πŸ’€) - TextAugment: Text Augmentation Library. MIT -- lightseq (πŸ₯‰17 Β· ⭐ 3.2K Β· πŸ’€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2 -- stop-words (πŸ₯‰17 Β· ⭐ 160 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 +- skift (πŸ₯‰18 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - TextBox (πŸ₯‰16 Β· ⭐ 1.1K Β· πŸ’€) - TextBox 2.0 is a text generation library with pre-trained language.. MIT -- Camphr (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy -- numerizer (πŸ₯‰16 Β· ⭐ 230) - A Python module to convert natural language numerics into ints and.. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 830 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 - ONNX-T5 (πŸ₯‰15 Β· ⭐ 250 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 - NeuralQA (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT -- skift (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT -- Headliner (πŸ₯‰13 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- Headliner (πŸ₯‰15 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - textvec (πŸ₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT -- TransferNLP (πŸ₯‰12 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT -- spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- spacy-dbpedia-spotlight (πŸ₯‰13 Β· ⭐ 110 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy

@@ -2136,7 +2136,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.9M Β· πŸ“‹ 3.3K - 4% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 2.2K Β· πŸ“¦ 2M Β· πŸ“‹ 3.3K - 4% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/python-pillow/Pillow @@ -2150,14 +2150,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pillow ```
+
PyTorch Image Models (πŸ₯‡42 Β· ⭐ 33K) - The largest collection of PyTorch image encoders /.. Apache-2 + +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.8K Β· πŸ“₯ 7.3M Β· πŸ“¦ 43K Β· πŸ“‹ 940 - 4% open Β· ⏱️ 06.12.2024): + + ``` + git clone https://github.com/rwightman/pytorch-image-models + ``` +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 6M / month Β· πŸ“¦ 1K Β· ⏱️ 03.12.2024): + ``` + pip install timm + ``` +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 280K Β· ⏱️ 04.12.2024): + ``` + conda install -c conda-forge timm + ``` +
torchvision (πŸ₯‡41 Β· ⭐ 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 7K Β· πŸ“₯ 39K Β· πŸ“¦ 21 Β· πŸ“‹ 3.5K - 29% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 7K Β· πŸ“₯ 39K Β· πŸ“¦ 21 Β· πŸ“‹ 3.5K - 29% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 17M / month Β· πŸ“¦ 5.9K Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 16M / month Β· πŸ“¦ 5.9K Β· ⏱️ 29.10.2024): ``` pip install torchvision ``` @@ -2166,25 +2182,41 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge torchvision ```
-
PyTorch Image Models (πŸ₯‡40 Β· ⭐ 32K) - The largest collection of PyTorch image encoders /.. Apache-2 +
Albumentations (πŸ₯‡41 Β· ⭐ 14K) - Fast and flexible image augmentation library. Paper about.. MIT -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.8K Β· πŸ“₯ 7.3M Β· πŸ“¦ 42K Β· πŸ“‹ 930 - 4% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.6K Β· πŸ“¦ 30K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/rwightman/pytorch-image-models + git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“¦ 1K Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 5.3M / month Β· πŸ“¦ 610 Β· ⏱️ 06.12.2024): ``` - pip install timm + pip install albumentations ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 280K Β· ⏱️ 04.12.2024): +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 210K Β· ⏱️ 22.09.2024): ``` - conda install -c conda-forge timm + conda install -c conda-forge albumentations + ``` +
+
MoviePy (πŸ₯‡41 Β· ⭐ 13K) - Video editing with Python. MIT + +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.6K Β· πŸ“¦ 50K Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 05.12.2024): + + ``` + git clone https://github.com/Zulko/moviepy + ``` +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1K Β· ⏱️ 25.11.2024): + ``` + pip install moviepy + ``` +- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 280K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge moviepy ```
deepface (πŸ₯‡39 Β· ⭐ 15K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 2.2K Β· πŸ“¦ 4.7K Β· πŸ“‹ 1.1K - 0% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 2.2K Β· πŸ“¦ 4.8K Β· πŸ“‹ 1.1K - 0% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/serengil/deepface @@ -2194,64 +2226,60 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install deepface ```
-
MoviePy (πŸ₯‡38 Β· ⭐ 13K) - Video editing with Python. MIT +
imageio (πŸ₯ˆ38 Β· ⭐ 1.5K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 1.6K Β· πŸ“¦ 50K Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 300 Β· πŸ“₯ 1.4K Β· πŸ“¦ 150K Β· πŸ“‹ 610 - 16% open Β· ⏱️ 28.11.2024): ``` - git clone https://github.com/Zulko/moviepy + git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“¦ 1K Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 27M / month Β· πŸ“¦ 2.5K Β· ⏱️ 28.11.2024): ``` - pip install moviepy + pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/moviepy) (πŸ“₯ 280K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 7.3M Β· ⏱️ 28.11.2024): ``` - conda install -c conda-forge moviepy + conda install -c conda-forge imageio ```
-
Albumentations (πŸ₯‡37 Β· ⭐ 14K) - Fast and flexible image augmentation library. Paper about.. MIT +
InsightFace (πŸ₯ˆ37 Β· ⭐ 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 1.6K Β· πŸ“¦ 30K Β· πŸ“‹ 1.1K - 16% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 5.4K Β· πŸ“₯ 5.7M Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.5K - 45% open Β· ⏱️ 05.12.2024): ``` - git clone https://github.com/albumentations-team/albumentations - ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“¦ 600 Β· ⏱️ 01.11.2024): - ``` - pip install albumentations + git clone https://github.com/deepinsight/insightface ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 210K Β· ⏱️ 22.09.2024): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 260K / month Β· πŸ“¦ 30 Β· ⏱️ 17.12.2022): ``` - conda install -c conda-forge albumentations + pip install insightface ```
-
imageio (πŸ₯‡37 Β· ⭐ 1.5K) - Python library for reading and writing image data. BSD-2 +
Kornia (πŸ₯ˆ37 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 300 Β· πŸ“₯ 1.4K Β· πŸ“¦ 150K Β· πŸ“‹ 610 - 16% open Β· ⏱️ 28.11.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 970 Β· πŸ“₯ 1.6K Β· πŸ“¦ 13K Β· πŸ“‹ 950 - 30% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/imageio/imageio + git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 24M / month Β· πŸ“¦ 2.5K Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.8M / month Β· πŸ“¦ 290 Β· ⏱️ 05.11.2024): ``` - pip install imageio + pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 7.2M Β· ⏱️ 28.11.2024): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 160K Β· ⏱️ 05.11.2024): ``` - conda install -c conda-forge imageio + conda install -c conda-forge kornia ```
-
InsightFace (πŸ₯ˆ36 Β· ⭐ 24K) - State-of-the-art 2D and 3D Face Analysis Project. MIT +
MMDetection (πŸ₯ˆ36 Β· ⭐ 30K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 5.4K Β· πŸ“₯ 5.6M Β· πŸ“¦ 3K Β· πŸ“‹ 2.5K - 45% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.5K Β· πŸ“¦ 3.3K Β· πŸ“‹ 8.6K - 21% open Β· ⏱️ 05.02.2024): ``` - git clone https://github.com/deepinsight/insightface + git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“¦ 30 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 190K / month Β· πŸ“¦ 82 Β· ⏱️ 05.01.2024): ``` - pip install insightface + pip install mmdet ```
opencv-python (πŸ₯ˆ35 Β· ⭐ 4.6K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT @@ -2268,7 +2296,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
detectron2 (πŸ₯ˆ34 Β· ⭐ 31K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.1K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 21.11.2024): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.5K Β· πŸ“¦ 2.2K Β· πŸ“‹ 3.6K - 14% open Β· ⏱️ 21.11.2024): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2277,37 +2305,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 490K Β· ⏱️ 06.11.2024): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 500K Β· ⏱️ 06.11.2024): ``` conda install -c conda-forge detectron2 ```
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Kornia (πŸ₯ˆ34 Β· ⭐ 10K) - Geometric Computer Vision Library for Spatial AI. Apache-2 +
PaddleSeg (πŸ₯ˆ34 Β· ⭐ 8.8K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 970 Β· πŸ“₯ 1.6K Β· πŸ“¦ 13K Β· πŸ“‹ 950 - 30% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 03.12.2024): ``` - git clone https://github.com/kornia/kornia - ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“¦ 290 Β· ⏱️ 05.11.2024): - ``` - pip install kornia + git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 160K Β· ⏱️ 05.11.2024): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.7K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): ``` - conda install -c conda-forge kornia + pip install paddleseg ```
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PaddleSeg (πŸ₯ˆ34 Β· ⭐ 8.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
Wand (πŸ₯ˆ34 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.7K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.4K - 10% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 20K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 01.10.2024): ``` - git clone https://github.com/PaddlePaddle/PaddleSeg + git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 1.7K / month Β· πŸ“¦ 7 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 1.1M / month Β· πŸ“¦ 260 Β· ⏱️ 03.11.2023): ``` - pip install paddleseg + pip install wand + ``` +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 90K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge wand ```
vit-pytorch (πŸ₯ˆ32 Β· ⭐ 21K) - Implementation of Vision Transformer, a simple way to achieve.. MIT @@ -2322,32 +2350,44 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install vit-pytorch ```
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MMDetection (πŸ₯ˆ31 Β· ⭐ 30K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 +
lightly (πŸ₯ˆ32 Β· ⭐ 3.2K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 9.5K Β· πŸ“¦ 3.2K Β· πŸ“‹ 8.5K - 21% open Β· ⏱️ 05.02.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 350 Β· πŸ“‹ 590 - 12% open Β· ⏱️ 03.12.2024): ``` - git clone https://github.com/open-mmlab/mmdetection + git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“¦ 82 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 59K / month Β· πŸ“¦ 17 Β· ⏱️ 29.11.2024): ``` - pip install mmdet + pip install lightly ```
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Wand (πŸ₯ˆ31 Β· ⭐ 1.4K) - The ctypes-based simple ImageMagick binding for Python. MIT +
ImageHash (πŸ₯ˆ31 Β· ⭐ 3.4K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“₯ 52K Β· πŸ“¦ 20K Β· πŸ“‹ 430 - 6% open Β· ⏱️ 01.10.2024): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 09.10.2024): ``` - git clone https://github.com/emcconville/wand + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“¦ 260 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.5M / month Β· πŸ“¦ 240 Β· ⏱️ 28.09.2022): ``` - pip install wand + pip install ImageHash ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 89K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 410K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge wand + conda install -c conda-forge imagehash + ``` +
+
PaddleDetection (πŸ₯ˆ30 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.9K Β· πŸ“‹ 5.5K - 22% open Β· ⏱️ 03.12.2024): + + ``` + git clone https://github.com/PaddlePaddle/PaddleDetection + ``` +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 640 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): + ``` + pip install paddledet ```
imageai (πŸ₯ˆ30 Β· ⭐ 8.7K Β· πŸ’€) - A python library built to empower developers to build applications.. MIT @@ -2357,91 +2397,79 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 16K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 15K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 8.3K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 8.4K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge imageai ```
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doctr (πŸ₯ˆ29 Β· ⭐ 4K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
CellProfiler (πŸ₯ˆ30 Β· ⭐ 930) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 440 Β· πŸ“₯ 4.3M Β· πŸ“‹ 380 - 7% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 8.2K Β· πŸ“¦ 26 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 10.12.2024): ``` - git clone https://github.com/mindee/doctr + git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“¦ 12 Β· ⏱️ 21.10.2024): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 16.09.2024): ``` - pip install python-doctr + pip install cellprofiler ```
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mtcnn (πŸ₯ˆ29 Β· ⭐ 2.2K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT +
sahi (πŸ₯‰29 Β· ⭐ 4.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 13 Β· πŸ“¦ 6.6K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 590 Β· πŸ“₯ 29K Β· πŸ“¦ 1.5K Β· ⏱️ 27.11.2024): ``` - git clone https://github.com/ipazc/mtcnn + git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 150K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2024): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 160K / month Β· πŸ“¦ 30 Β· ⏱️ 22.11.2024): ``` - pip install mtcnn + pip install sahi ``` -- [Conda](https://anaconda.org/conda-forge/mtcnn) (πŸ“₯ 14K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 81K Β· ⏱️ 25.11.2024): ``` - conda install -c conda-forge mtcnn + conda install -c conda-forge sahi ```
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PaddleDetection (πŸ₯ˆ28 Β· ⭐ 13K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
doctr (πŸ₯‰29 Β· ⭐ 4K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.9K Β· πŸ“‹ 5.5K - 22% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 440 Β· πŸ“₯ 4.4M Β· πŸ“‹ 380 - 7% open Β· ⏱️ 08.12.2024): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“¦ 2 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 43K / month Β· πŸ“¦ 12 Β· ⏱️ 21.10.2024): ``` - pip install paddledet + pip install python-doctr ```
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ImageHash (πŸ₯ˆ28 Β· ⭐ 3.3K) - A Python Perceptual Image Hashing Module. BSD-2 +
mtcnn (πŸ₯‰29 Β· ⭐ 2.2K) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 330 Β· πŸ“¦ 15K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 09.10.2024): +- [GitHub](https://github.com/ipazc/mtcnn) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 530 Β· πŸ“₯ 15 Β· πŸ“¦ 6.7K Β· πŸ“‹ 130 - 37% open Β· ⏱️ 08.10.2024): ``` - git clone https://github.com/JohannesBuchner/imagehash - ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“¦ 240 Β· ⏱️ 28.09.2022): - ``` - pip install ImageHash - ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 410K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge imagehash + git clone https://github.com/ipazc/mtcnn ``` -
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lightly (πŸ₯ˆ28 Β· ⭐ 3.2K) - A python library for self-supervised learning on images. MIT - -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 350 Β· πŸ“‹ 590 - 12% open Β· ⏱️ 03.12.2024): - +- [PyPi](https://pypi.org/project/mtcnn) (πŸ“₯ 150K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2024): ``` - git clone https://github.com/lightly-ai/lightly + pip install mtcnn ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“¦ 17 Β· ⏱️ 29.11.2024): +- [Conda](https://anaconda.org/conda-forge/mtcnn) (πŸ“₯ 14K Β· ⏱️ 16.06.2023): ``` - pip install lightly + conda install -c conda-forge mtcnn ```
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mahotas (πŸ₯ˆ28 Β· ⭐ 850) - Computer Vision in Python. MIT +
mahotas (πŸ₯‰28 Β· ⭐ 850) - Computer Vision in Python. MIT - [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.4K Β· πŸ“‹ 91 - 23% open Β· ⏱️ 17.07.2024): ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 24K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 23K / month Β· πŸ“¦ 63 Β· ⏱️ 17.07.2024): ``` pip install mahotas ``` @@ -2457,25 +2485,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 56K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 48K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
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sahi (πŸ₯‰27 Β· ⭐ 4.2K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
facenet-pytorch (πŸ₯‰27 Β· ⭐ 4.6K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 590 Β· πŸ“₯ 29K Β· πŸ“¦ 1.5K Β· ⏱️ 27.11.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.5M Β· πŸ“¦ 2.5K Β· πŸ“‹ 180 - 41% open Β· ⏱️ 02.08.2024): ``` - git clone https://github.com/obss/sahi - ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“¦ 30 Β· ⏱️ 22.11.2024): - ``` - pip install sahi + git clone https://github.com/timesler/facenet-pytorch ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 80K Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 96K / month Β· πŸ“¦ 51 Β· ⏱️ 29.04.2024): ``` - conda install -c conda-forge sahi + pip install facenet-pytorch ```
vidgear (πŸ₯‰27 Β· ⭐ 3.4K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 @@ -2490,40 +2514,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install vidgear ```
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CellProfiler (πŸ₯‰27 Β· ⭐ 930) - An open-source application for biological image analysis. BSD-3 - -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 8.1K Β· πŸ“¦ 26 Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 04.11.2024): - - ``` - git clone https://github.com/CellProfiler/CellProfiler - ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“¦ 2 Β· ⏱️ 16.09.2024): - ``` - pip install cellprofiler - ``` -
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facenet-pytorch (πŸ₯‰26 Β· ⭐ 4.6K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT +
Norfair (πŸ₯‰26 Β· ⭐ 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 940 Β· πŸ“₯ 1.4M Β· πŸ“¦ 2.5K Β· πŸ“‹ 180 - 41% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 250 Β· πŸ“₯ 340 Β· πŸ“¦ 250 Β· πŸ“‹ 170 - 14% open Β· ⏱️ 27.07.2024): ``` - git clone https://github.com/timesler/facenet-pytorch + git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“¦ 51 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 23K / month Β· πŸ“¦ 9 Β· ⏱️ 30.05.2022): ``` - pip install facenet-pytorch + pip install norfair ```
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Norfair (πŸ₯‰26 Β· ⭐ 2.4K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 +
pytorchvideo (πŸ₯‰25 Β· ⭐ 3.4K) - A deep learning library for video understanding research. Apache-2 -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 250 Β· πŸ“₯ 340 Β· πŸ“¦ 240 Β· πŸ“‹ 170 - 14% open Β· ⏱️ 27.07.2024): +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 410 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 26.11.2024): ``` - git clone https://github.com/tryolabs/norfair + git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 22K / month Β· πŸ“¦ 9 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 32K / month Β· πŸ“¦ 24 Β· ⏱️ 20.01.2022): ``` - pip install norfair + pip install pytorchvideo ```
tensorflow-graphics (πŸ₯‰25 Β· ⭐ 2.8K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 @@ -2533,55 +2545,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 22K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 20K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ```
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Image Deduplicator (πŸ₯‰24 Β· ⭐ 5.2K) - Finding duplicate images made easy!. Apache-2 - -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 450 Β· πŸ“¦ 150 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 02.12.2024): - - ``` - git clone https://github.com/idealo/imagededup - ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 27K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): - ``` - pip install imagededup - ``` -
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segmentation_models (πŸ₯‰24 Β· ⭐ 4.8K) - Segmentation models with pretrained backbones. Keras.. MIT - -- [GitHub](https://github.com/qubvel/segmentation_models) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1K Β· πŸ“‹ 540 - 50% open Β· ⏱️ 21.08.2024): - - ``` - git clone https://github.com/qubvel/segmentation_models - ``` -- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 33K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): - ``` - pip install segmentation_models - ``` -
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ffcv (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 +
kubric (πŸ₯‰25 Β· ⭐ 2.4K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 57 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 230 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 29.11.2024): ``` - git clone https://github.com/libffcv/ffcv + git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 900 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 18K / month Β· ⏱️ 27.12.2023): ``` - pip install ffcv + pip install kubric-nightly ```
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pyvips (πŸ₯‰24 Β· ⭐ 650) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰25 Β· ⭐ 650) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 850 Β· πŸ“‹ 450 - 42% open Β· ⏱️ 29.10.2024): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 860 Β· πŸ“‹ 450 - 42% open Β· ⏱️ 29.10.2024): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“¦ 77 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 56K / month Β· πŸ“¦ 77 Β· ⏱️ 28.04.2024): ``` pip install pyvips ``` @@ -2590,87 +2578,99 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge pyvips ```
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MMF (πŸ₯‰22 Β· ⭐ 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3 +
MMF (πŸ₯‰24 Β· ⭐ 5.5K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“¦ 21 Β· πŸ“‹ 690 - 21% open Β· ⏱️ 15.11.2024): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 900 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
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vissl (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT +
Image Deduplicator (πŸ₯‰24 Β· ⭐ 5.2K) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 55 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 450 Β· πŸ“¦ 150 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 02.12.2024): ``` - git clone https://github.com/facebookresearch/vissl + git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 130 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 24K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` - pip install vissl + pip install imagededup ```
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pytorchvideo (πŸ₯‰21 Β· ⭐ 3.3K) - A deep learning library for video understanding research. Apache-2 +
segmentation_models (πŸ₯‰24 Β· ⭐ 4.8K) - Segmentation models with pretrained backbones. Keras.. MIT -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 410 Β· πŸ“‹ 210 - 50% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/qubvel/segmentation_models) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1K Β· πŸ“‹ 540 - 50% open Β· ⏱️ 21.08.2024): ``` - git clone https://github.com/facebookresearch/pytorchvideo + git clone https://github.com/qubvel/segmentation_models ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“¦ 24 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 33K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): ``` - pip install pytorchvideo + pip install segmentation_models ```
-
kubric (πŸ₯‰21 Β· ⭐ 2.3K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
ffcv (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 230 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 33% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“¦ 57 Β· πŸ“‹ 290 - 38% open Β· ⏱️ 06.05.2024): ``` - git clone https://github.com/google-research/kubric + git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (⏱️ 27.12.2023): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 930 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` - pip install kubric-nightly + pip install ffcv ```
-
DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 14K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 +
vissl (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - VISSL is FAIRs library of extensible, modular and scalable.. MIT -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 47% open Β· ⏱️ 12.03.2024): +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 56 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): ``` - git clone https://github.com/facebookresearch/detr + git clone https://github.com/facebookresearch/vissl + ``` +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 140 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): + ``` + pip install vissl ```
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PySlowFast (πŸ₯‰20 Β· ⭐ 6.7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
icevision (πŸ₯‰22 Β· ⭐ 850) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 700 - 58% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 130 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 31.10.2024): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/pyslowfast) (⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 2.7K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` - pip install pyslowfast + pip install icevision ```
-
icevision (πŸ₯‰19 Β· ⭐ 850) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2 +
PySlowFast (πŸ₯‰21 Β· ⭐ 6.7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 130 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 31.10.2024): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 1.2K Β· πŸ“¦ 22 Β· πŸ“‹ 700 - 58% open Β· ⏱️ 26.11.2024): ``` - git clone https://github.com/airctic/icevision + git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 64 / month Β· ⏱️ 15.01.2020): ``` - pip install icevision + pip install pyslowfast + ``` +
+
DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 14K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 + +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 47% open Β· ⏱️ 12.03.2024): + + ``` + git clone https://github.com/facebookresearch/detr ```
-
scenic (πŸ₯‰18 Β· ⭐ 3.3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 +
scenic (πŸ₯‰18 Β· ⭐ 3.4K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 - [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 440 Β· πŸ“‹ 270 - 55% open Β· ⏱️ 05.12.2024): @@ -2680,29 +2680,29 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 23 hidden projects... -- scikit-image (πŸ₯‡39 Β· ⭐ 6.1K) - Image processing in Python. ❗Unlicensed -- glfw (πŸ₯ˆ35 Β· ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- imgaug (πŸ₯ˆ33 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- PyTorch3D (πŸ₯ˆ33 Β· ⭐ 8.9K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- Face Recognition (πŸ₯ˆ31 Β· ⭐ 54K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- scikit-image (πŸ₯‡41 Β· ⭐ 6.1K) - Image processing in Python. ❗Unlicensed +- glfw (πŸ₯ˆ37 Β· ⭐ 13K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- imgaug (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- Face Recognition (πŸ₯ˆ34 Β· ⭐ 54K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +- PyTorch3D (πŸ₯ˆ34 Β· ⭐ 8.9K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- GluonCV (πŸ₯ˆ30 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 +- layout-parser (πŸ₯‰28 Β· ⭐ 5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +- Augmentor (πŸ₯‰27 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- GluonCV (πŸ₯‰25 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.2K) - The friendly PIL fork. ❗️PIL -- Augmentor (πŸ₯‰23 Β· ⭐ 5.1K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- deep-daze (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT - Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 -- layout-parser (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +- Classy Vision (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT - Image Super-Resolution (πŸ₯‰21 Β· ⭐ 4.7K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 -- Classy Vision (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - An end-to-end PyTorch framework for image and video.. MIT -- deep-daze (πŸ₯‰20 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT +- image-match (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 - nude.py (πŸ₯‰20 Β· ⭐ 930 Β· πŸ’€) - Nudity detection with Python. MIT -- image-match (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 +- detecto (πŸ₯‰20 Β· ⭐ 610 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT +- pycls (πŸ₯‰18 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT - Caer (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- detecto (πŸ₯‰18 Β· ⭐ 610 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT -- solt (πŸ₯‰16 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT +- solt (πŸ₯‰18 Β· ⭐ 260) - Streaming over lightweight data transformations. MIT +- Torch Points 3D (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 - HugsVision (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface -- pycls (πŸ₯‰15 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT -- Torch Points 3D (πŸ₯‰14 Β· ⭐ 220 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3

@@ -2712,14 +2712,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
networkx (πŸ₯‡41 Β· ⭐ 15K) - Network Analysis in Python. BSD-3 +
networkx (πŸ₯‡44 Β· ⭐ 15K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 3.3K Β· πŸ“₯ 76 Β· πŸ“¦ 320K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 760 Β· πŸ”€ 3.3K Β· πŸ“₯ 76 Β· πŸ“¦ 330K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“¦ 9.6K Β· ⏱️ 21.10.2024): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 70M / month Β· πŸ“¦ 9.6K Β· ⏱️ 21.10.2024): ``` pip install networkx ``` @@ -2728,18 +2728,18 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge networkx ```
-
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡41 Β· ⭐ 22K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 3.7K Β· πŸ“¦ 7.1K Β· πŸ“‹ 3.7K - 28% open Β· ⏱️ 28.11.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 3.7K Β· πŸ“¦ 7.2K Β· πŸ“‹ 3.7K - 28% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“¦ 360 Β· ⏱️ 26.09.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 480K / month Β· πŸ“¦ 360 Β· ⏱️ 26.09.2024): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 120K Β· ⏱️ 26.09.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 130K Β· ⏱️ 26.09.2024): ``` conda install -c conda-forge pytorch_geometric ``` @@ -2751,47 +2751,59 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 1M / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 970K / month Β· πŸ“¦ 150 Β· ⏱️ 13.05.2024): ``` pip install dgl ```
-
pygraphistry (πŸ₯‡32 Β· ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 +
pygraphistry (πŸ₯ˆ32 Β· ⭐ 2.2K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 200 Β· πŸ“¦ 130 Β· πŸ“‹ 340 - 51% open Β· ⏱️ 08.11.2024): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 210 Β· πŸ“¦ 130 Β· πŸ“‹ 340 - 52% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 14K / month Β· πŸ“¦ 6 Β· ⏱️ 20.10.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 11.12.2024): ``` pip install graphistry ```
-
PyKEEN (πŸ₯‡32 Β· ⭐ 1.7K) - A Python library for learning and evaluating knowledge graph embeddings. MIT +
PyKEEN (πŸ₯ˆ31 Β· ⭐ 1.7K Β· πŸ“‰) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 190 Β· πŸ“₯ 220 Β· πŸ“¦ 260 Β· πŸ“‹ 580 - 19% open Β· ⏱️ 10.11.2024): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 190 Β· πŸ“₯ 230 Β· πŸ“¦ 260 Β· πŸ“‹ 580 - 19% open Β· ⏱️ 10.11.2024): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 15K / month Β· πŸ“¦ 19 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 16K / month Β· πŸ“¦ 19 Β· ⏱️ 29.10.2024): ``` pip install pykeen ```
-
ogb (πŸ₯ˆ28 Β· ⭐ 2K Β· πŸ’€) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
Spektral (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - Graph Neural Networks with Keras and Tensorflow 2. MIT + +- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 360 Β· πŸ“‹ 280 - 25% open Β· ⏱️ 21.01.2024): + + ``` + git clone https://github.com/danielegrattarola/spektral + ``` +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 10K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): + ``` + pip install spektral + ``` +
+
ogb (πŸ₯ˆ28 Β· ⭐ 2K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2.1K Β· πŸ“‹ 300 - 9% open Β· ⏱️ 01.02.2024): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 2.1K Β· πŸ“‹ 300 - 9% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 47K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 43K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 42K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 43K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ogb ``` @@ -2803,26 +2815,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.8K / month Β· πŸ“¦ 2 Β· ⏱️ 26.02.2024): ``` pip install ampligraph ```
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Spektral (πŸ₯ˆ24 Β· ⭐ 2.4K Β· πŸ’€) - Graph Neural Networks with Keras and Tensorflow 2. MIT +
pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 350 Β· πŸ“‹ 280 - 25% open Β· ⏱️ 21.01.2024): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 370 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 14.10.2024): ``` - git clone https://github.com/danielegrattarola/spektral + git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“¦ 7 Β· ⏱️ 21.01.2024): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.9K / month Β· πŸ“¦ 7 Β· ⏱️ 04.09.2022): ``` - pip install spektral + pip install torch-geometric-temporal ```
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 730 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 250 Β· πŸ“¦ 740 Β· πŸ“‹ 93 - 5% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/eliorc/node2vec @@ -2838,44 +2850,32 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch-BigGraph (πŸ₯ˆ23 Β· ⭐ 3.4K Β· πŸ’€) - Generate embeddings from large-scale graph-structured.. BSD-3 -- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 450 Β· πŸ“₯ 210 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 450 Β· πŸ“₯ 220 Β· πŸ“‹ 200 - 32% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 350K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 300K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): ``` pip install torchbiggraph ```
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torch-cluster (πŸ₯ˆ23 Β· ⭐ 830) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
torch-cluster (πŸ₯ˆ23 Β· ⭐ 840) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 150 Β· πŸ“‹ 180 - 19% open Β· ⏱️ 14.11.2024): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 18K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 17K / month Β· πŸ“¦ 62 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 230K Β· ⏱️ 28.08.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 240K Β· ⏱️ 28.08.2024): ``` conda install -c conda-forge pytorch_cluster ```
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pytorch_geometric_temporal (πŸ₯‰22 Β· ⭐ 2.7K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT - -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 370 Β· πŸ“‹ 200 - 20% open Β· ⏱️ 14.10.2024): - - ``` - git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal - ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“¦ 7 Β· ⏱️ 04.09.2022): - ``` - pip install torch-geometric-temporal - ``` -
AutoGL (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 - [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“‹ 39 - 35% open Β· ⏱️ 05.02.2024): @@ -2910,23 +2910,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
Show 21 hidden projects... -- igraph (πŸ₯‡32 Β· ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 +- igraph (πŸ₯‡34 Β· ⭐ 1.3K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ27 Β· ⭐ 3K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ27 Β· ⭐ 2.7K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - Karate Club (πŸ₯ˆ23 Β· ⭐ 2.2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 -- Paddle Graph Learning (πŸ₯ˆ23 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 - graph4nlp (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - jraph (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - graph-nets (πŸ₯‰21 Β· ⭐ 5.4K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - pyRDF2Vec (πŸ₯‰21 Β· ⭐ 250 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.7K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 +- DIG (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 +- deepsnap (πŸ₯‰20 Β· ⭐ 550 Β· πŸ’€) - Python library assists deep learning on graphs. MIT - GraphGym (πŸ₯‰19 Β· ⭐ 1.7K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT -- DIG (πŸ₯‰18 Β· ⭐ 1.9K Β· πŸ’€) - A library for graph deep learning research. ❗️GPL-3.0 - Sematch (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 - DeepGraph (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 -- deepsnap (πŸ₯‰17 Β· ⭐ 550 Β· πŸ’€) - Python library assists deep learning on graphs. MIT - kglib (πŸ₯‰17 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 -- Euler (πŸ₯‰15 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 +- Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - ptgnn (πŸ₯‰15 Β· ⭐ 380 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT - GraphEmbedding (πŸ₯‰14 Β· ⭐ 3.7K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.4K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT @@ -2940,91 +2940,103 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
speechbrain (πŸ₯‡40 Β· ⭐ 9K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡39 Β· ⭐ 9K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 3.3M / month Β· πŸ“¦ 67 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2.9M / month Β· πŸ“¦ 67 Β· ⏱️ 30.10.2024): ``` pip install speechbrain ```
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Coqui TTS (πŸ₯‡34 Β· ⭐ 36K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
espnet (πŸ₯‡38 Β· ⭐ 8.6K Β· πŸ“ˆ) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 3.7M Β· πŸ“¦ 2K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.2K Β· πŸ“₯ 83 Β· πŸ“¦ 390 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 08.12.2024): ``` - git clone https://github.com/coqui-ai/TTS + git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 140K / month Β· πŸ“¦ 53 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 23K / month Β· πŸ“¦ 12 Β· ⏱️ 04.12.2024): ``` - pip install tts + pip install espnet ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): +
+
SpeechRecognition (πŸ₯‡36 Β· ⭐ 8.5K) - Speech recognition module for Python, supporting several.. BSD-3 + +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 670 - 50% open Β· ⏱️ 09.12.2024): + ``` - conda install -c conda-forge tts + git clone https://github.com/Uberi/speech_recognition + ``` +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 1.2M / month Β· πŸ“¦ 610 Β· ⏱️ 08.12.2024): + ``` + pip install SpeechRecognition + ``` +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 210K Β· ⏱️ 09.12.2024): + ``` + conda install -c conda-forge speechrecognition ```
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espnet (πŸ₯‡33 Β· ⭐ 8.6K Β· πŸ“‰) - End-to-End Speech Processing Toolkit. Apache-2 +
torchaudio (πŸ₯ˆ35 Β· ⭐ 2.6K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.2K Β· πŸ“₯ 83 Β· πŸ“¦ 390 Β· πŸ“‹ 2.5K - 14% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 660 Β· πŸ“‹ 990 - 26% open Β· ⏱️ 15.11.2024): ``` - git clone https://github.com/espnet/espnet + git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“¦ 12 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1.4K Β· ⏱️ 29.10.2024): ``` - pip install espnet + pip install torchaudio ```
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spleeter (πŸ₯ˆ32 Β· ⭐ 26K Β· πŸ“ˆ) - Deezer source separation library including pretrained models. MIT +
Coqui TTS (πŸ₯ˆ34 Β· ⭐ 36K Β· πŸ’€) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“₯ 3.6M Β· πŸ“¦ 840 Β· πŸ“‹ 800 - 29% open Β· ⏱️ 29.10.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 3.8M Β· πŸ“¦ 2K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 10.02.2024): ``` - git clone https://github.com/deezer/spleeter + git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 25K / month Β· πŸ“¦ 12 Β· ⏱️ 10.06.2022): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 140K / month Β· πŸ“¦ 53 Β· ⏱️ 12.12.2023): ``` - pip install spleeter + pip install tts ``` -- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 98K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge spleeter + conda install -c conda-forge tts ```
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Magenta (πŸ₯ˆ32 Β· ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 +
Magenta (πŸ₯ˆ33 Β· ⭐ 19K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 - [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 550 Β· πŸ“‹ 1K - 41% open Β· ⏱️ 01.08.2024): ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 7.9K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.3K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` pip install magenta ```
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SpeechRecognition (πŸ₯ˆ32 Β· ⭐ 8.5K) - Speech recognition module for Python, supporting several.. BSD-3 +
spleeter (πŸ₯ˆ32 Β· ⭐ 26K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 2.4K Β· πŸ“¦ 21 Β· πŸ“‹ 660 - 50% open Β· ⏱️ 09.11.2024): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.9K Β· πŸ“₯ 3.6M Β· πŸ“¦ 850 Β· πŸ“‹ 800 - 29% open Β· ⏱️ 29.10.2024): ``` - git clone https://github.com/Uberi/speech_recognition + git clone https://github.com/deezer/spleeter ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“¦ 580 Β· ⏱️ 20.10.2024): +- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 10.06.2022): ``` - pip install SpeechRecognition + pip install spleeter ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 210K Β· ⏱️ 07.11.2024): +- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 99K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge speechrecognition + conda install -c conda-forge spleeter ```
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librosa (πŸ₯ˆ32 Β· ⭐ 7.2K) - Python library for audio and music analysis. ISC +
librosa (πŸ₯ˆ31 Β· ⭐ 7.2K Β· πŸ“‰) - Python library for audio and music analysis. ISC - [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 960 Β· πŸ“‹ 1.2K - 4% open Β· ⏱️ 26.11.2024): @@ -3040,106 +3052,94 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge librosa ```
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audioread (πŸ₯ˆ29 Β· ⭐ 500 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT +
audiomentations (πŸ₯ˆ31 Β· ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“¦ 26K Β· πŸ“‹ 94 - 39% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 630 Β· πŸ“‹ 190 - 26% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/beetbox/audioread - ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2.2M / month Β· πŸ“¦ 140 Β· ⏱️ 27.09.2023): - ``` - pip install audioread + git clone https://github.com/iver56/audiomentations ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 910K Β· ⏱️ 03.09.2024): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 50K / month Β· πŸ“¦ 21 Β· ⏱️ 06.12.2024): ``` - conda install -c conda-forge audioread + pip install audiomentations ```
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torchaudio (πŸ₯ˆ28 Β· ⭐ 2.6K Β· πŸ“‰) - Data manipulation and transformation for audio signal.. BSD-2 +
Porcupine (πŸ₯ˆ30 Β· ⭐ 3.8K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 660 Β· πŸ“‹ 990 - 26% open Β· ⏱️ 15.11.2024): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 500 Β· πŸ“¦ 36 Β· πŸ“‹ 560 - 0% open Β· ⏱️ 25.11.2024): ``` - git clone https://github.com/pytorch/audio + git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“¦ 1.4K Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 11K / month Β· πŸ“¦ 35 Β· ⏱️ 27.08.2024): ``` - pip install torchaudio + pip install pvporcupine ```
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audiomentations (πŸ₯‰27 Β· ⭐ 1.9K) - A Python library for audio data augmentation. Inspired by.. MIT +
python-soundfile (πŸ₯ˆ30 Β· ⭐ 720) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 620 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 47K Β· πŸ“‹ 260 - 47% open Β· ⏱️ 04.12.2024): ``` - git clone https://github.com/iver56/audiomentations - ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“¦ 18 Β· ⏱️ 03.09.2024): - ``` - pip install audiomentations + git clone https://github.com/bastibe/python-soundfile ``` -
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Madmom (πŸ₯‰27 Β· ⭐ 1.4K) - Python audio and music signal processing library. BSD-3 - -- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 200 Β· πŸ“¦ 450 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 25.08.2024): - +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.7M / month Β· πŸ“¦ 780 Β· ⏱️ 15.02.2023): ``` - git clone https://github.com/CPJKU/madmom + pip install soundfile ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.3K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): +- [Conda](https://anaconda.org/anaconda/pysoundfile): ``` - pip install madmom + conda install -c anaconda pysoundfile ```
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Porcupine (πŸ₯‰26 Β· ⭐ 3.8K) - On-device wake word detection powered by deep learning. Apache-2 +
tinytag (πŸ₯ˆ30 Β· ⭐ 710) - Python library for reading audio file metadata. MIT -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 500 Β· πŸ“¦ 36 Β· πŸ“‹ 560 - 0% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/tinytag/tinytag) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 1.1K Β· πŸ“‹ 120 - 3% open Β· ⏱️ 05.12.2024): ``` - git clone https://github.com/Picovoice/Porcupine + git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“¦ 35 Β· ⏱️ 27.08.2024): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 61K / month Β· πŸ“¦ 110 Β· ⏱️ 03.11.2024): ``` - pip install pvporcupine + pip install tinytag ```
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python-soundfile (πŸ₯‰25 Β· ⭐ 720) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
audioread (πŸ₯‰29 Β· ⭐ 500 Β· πŸ’€) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio.. MIT -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 110 Β· πŸ“₯ 21K Β· πŸ“¦ 47K Β· πŸ“‹ 260 - 47% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 110 Β· πŸ“¦ 27K Β· πŸ“‹ 94 - 39% open Β· ⏱️ 15.12.2023): ``` - git clone https://github.com/bastibe/python-soundfile + git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“¦ 780 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 2.2M / month Β· πŸ“¦ 140 Β· ⏱️ 27.09.2023): ``` - pip install soundfile + pip install audioread ``` -- [Conda](https://anaconda.org/anaconda/pysoundfile): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 910K Β· ⏱️ 03.09.2024): ``` - conda install -c anaconda pysoundfile + conda install -c conda-forge audioread ```
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tinytag (πŸ₯‰25 Β· ⭐ 710) - Python library for reading audio file metadata. MIT +
Madmom (πŸ₯‰27 Β· ⭐ 1.4K) - Python audio and music signal processing library. BSD-3 -- [GitHub](https://github.com/tinytag/tinytag) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 100 Β· πŸ“¦ 1.1K Β· πŸ“‹ 120 - 3% open Β· ⏱️ 03.11.2024): +- [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 200 Β· πŸ“¦ 450 Β· πŸ“‹ 280 - 24% open Β· ⏱️ 25.08.2024): ``` - git clone https://github.com/devsnd/tinytag + git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“¦ 110 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.3K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): ``` - pip install tinytag + pip install madmom ```
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DDSP (πŸ₯‰22 Β· ⭐ 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2 +
DDSP (πŸ₯‰23 Β· ⭐ 2.9K) - DDSP: Differentiable Digital Signal Processing. Apache-2 - [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 330 Β· πŸ“¦ 62 Β· πŸ“‹ 170 - 28% open Β· ⏱️ 23.09.2024): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 4.8K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3155,25 +3155,25 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 19K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 20K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` pip install nnAudio ```
Show 13 hidden projects... -- DeepSpeech (πŸ₯‡33 Β· ⭐ 25K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- Pydub (πŸ₯ˆ30 Β· ⭐ 9K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT -- pyAudioAnalysis (πŸ₯ˆ28 Β· ⭐ 5.9K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +- Pydub (πŸ₯ˆ35 Β· ⭐ 9K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT +- DeepSpeech (πŸ₯ˆ33 Β· ⭐ 25K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 +- pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.9K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +- Essentia (πŸ₯‰28 Β· ⭐ 2.9K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (πŸ₯‰27 Β· ⭐ 3.3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 - TTS (πŸ₯‰26 Β· ⭐ 9.5K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 -- Essentia (πŸ₯‰24 Β· ⭐ 2.9K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - python_speech_features (πŸ₯‰24 Β· ⭐ 2.4K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.5K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰22 Β· ⭐ 920 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - TimeSide (πŸ₯‰22 Β· ⭐ 370) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 -- Julius (πŸ₯‰16 Β· ⭐ 430 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- Muda (πŸ₯‰16 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC +- Julius (πŸ₯‰21 Β· ⭐ 430 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT +- Muda (πŸ₯‰18 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC - textlesslib (πŸ₯‰10 Β· ⭐ 530 Β· πŸ’€) - Library for Textless Spoken Language Processing. MIT

@@ -3184,29 +3184,29 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as _Libraries to load, process, analyze, and write geographic data as well as libraries for spatial analysis, map visualization, and geocoding._ -
pydeck (πŸ₯‡41 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT +
pydeck (πŸ₯‡43 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.4K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.1K Β· πŸ“¦ 8.4K Β· πŸ“‹ 3.1K - 11% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“¦ 120 Β· ⏱️ 10.05.2024): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 7.1M / month Β· πŸ“¦ 120 Β· ⏱️ 10.05.2024): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 650K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 660K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 620K / month Β· πŸ“¦ 300 Β· ⏱️ 24.11.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 600K / month Β· πŸ“¦ 310 Β· ⏱️ 11.12.2024): ``` npm install deck.gl ```
Shapely (πŸ₯‡40 Β· ⭐ 3.9K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 570 Β· πŸ“₯ 3.7K Β· πŸ“¦ 87K Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 570 Β· πŸ“₯ 3.7K Β· πŸ“¦ 88K Β· πŸ“‹ 1.2K - 23% open Β· ⏱️ 03.12.2024): ``` git clone https://github.com/shapely/shapely @@ -3220,110 +3220,110 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge shapely ```
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folium (πŸ₯‡39 Β· ⭐ 6.9K) - Python Data. Leaflet.js Maps. MIT +
folium (πŸ₯‡39 Β· ⭐ 7K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 47K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 48K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.7M / month Β· πŸ“¦ 770 Β· ⏱️ 22.10.2024): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 1.7M / month Β· πŸ“¦ 800 Β· ⏱️ 12.12.2024): ``` pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.3M Β· ⏱️ 23.10.2024): +- [Conda](https://anaconda.org/conda-forge/folium) (πŸ“₯ 3.3M Β· ⏱️ 11.12.2024): ``` conda install -c conda-forge folium ```
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GeoPandas (πŸ₯ˆ37 Β· ⭐ 4.5K) - Python tools for geographic data. BSD-3 +
GeoPandas (πŸ₯‡39 Β· ⭐ 4.6K) - Python tools for geographic data. BSD-3 - [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 930 Β· πŸ“₯ 2.8K Β· πŸ“¦ 45K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 29.11.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 7.2M / month Β· πŸ“¦ 2.8K Β· ⏱️ 02.07.2024): ``` pip install geopandas ``` -- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.2M Β· ⏱️ 21.09.2024): +- [Conda](https://anaconda.org/conda-forge/geopandas) (πŸ“₯ 4.2M Β· ⏱️ 09.12.2024): ``` conda install -c conda-forge geopandas ```
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Fiona (πŸ₯ˆ37 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 +
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 200 Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 3% open Β· ⏱️ 18.11.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 540 Β· πŸ“₯ 980 Β· πŸ“¦ 14K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 06.12.2024): ``` - git clone https://github.com/Toblerity/Fiona + git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.9M / month Β· πŸ“¦ 300 Β· ⏱️ 16.09.2024): +- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 3M / month Β· πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): ``` - pip install fiona + pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6.2M Β· ⏱️ 19.11.2024): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3.9M Β· ⏱️ 02.12.2024): ``` - conda install -c conda-forge fiona + conda install -c conda-forge rasterio ```
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Rasterio (πŸ₯ˆ36 Β· ⭐ 2.3K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
ArcGIS API (πŸ₯ˆ37 Β· ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 540 Β· πŸ“₯ 980 Β· πŸ“¦ 14K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.1K Β· πŸ“₯ 13K Β· πŸ“¦ 880 Β· πŸ“‹ 790 - 9% open Β· ⏱️ 03.12.2024): ``` - git clone https://github.com/rasterio/rasterio + git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“¦ 1.5K Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 86K / month Β· πŸ“¦ 40 Β· ⏱️ 01.10.2024): ``` - pip install rasterio + pip install arcgis ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3.9M Β· ⏱️ 02.12.2024): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): ``` - conda install -c conda-forge rasterio + docker pull esridocker/arcgis-api-python-notebook ```
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pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
Fiona (πŸ₯ˆ37 Β· ⭐ 1.2K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 210 Β· πŸ“¦ 37K Β· πŸ“‹ 630 - 5% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 200 Β· πŸ“¦ 24K Β· πŸ“‹ 810 - 3% open Β· ⏱️ 18.11.2024): ``` - git clone https://github.com/pyproj4/pyproj + git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 9.4M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.8M / month Β· πŸ“¦ 300 Β· ⏱️ 16.09.2024): ``` - pip install pyproj + pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 9.1M Β· ⏱️ 01.10.2024): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 6.2M Β· ⏱️ 06.12.2024): ``` - conda install -c conda-forge pyproj + conda install -c conda-forge fiona ```
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ArcGIS API (πŸ₯ˆ33 Β· ⭐ 1.9K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
pyproj (πŸ₯ˆ36 Β· ⭐ 1.1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.1K Β· πŸ“₯ 13K Β· πŸ“¦ 870 Β· πŸ“‹ 790 - 9% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 220 Β· πŸ“¦ 37K Β· πŸ“‹ 630 - 5% open Β· ⏱️ 04.12.2024): ``` - git clone https://github.com/Esri/arcgis-python-api + git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“¦ 40 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 9.3M / month Β· πŸ“¦ 1.7K Β· ⏱️ 01.10.2024): ``` - pip install arcgis + pip install pyproj ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 9.2M Β· ⏱️ 01.10.2024): ``` - docker pull esridocker/arcgis-api-python-notebook + conda install -c conda-forge pyproj ```
-
ipyleaflet (πŸ₯‰31 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT +
ipyleaflet (πŸ₯ˆ33 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 360 Β· πŸ“¦ 13K Β· πŸ“‹ 660 - 45% open Β· ⏱️ 21.10.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 360 Β· πŸ“¦ 13K Β· πŸ“‹ 660 - 45% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“¦ 280 Β· ⏱️ 22.07.2024): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 250K / month Β· πŸ“¦ 280 Β· ⏱️ 22.07.2024): ``` pip install ipyleaflet ``` @@ -3343,7 +3343,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“¦ 49 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 35K / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): ``` pip install pysal ``` @@ -3352,30 +3352,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pysal ```
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geojson (πŸ₯‰31 Β· ⭐ 930) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (πŸ₯‰30 Β· ⭐ 930) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 120 Β· πŸ“¦ 19K Β· πŸ“‹ 100 - 24% open Β· ⏱️ 25.10.2024): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 3.3M / month Β· πŸ“¦ 700 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 3.1M / month Β· πŸ“¦ 700 Β· ⏱️ 05.11.2023): ``` pip install geojson ``` -- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 880K Β· ⏱️ 06.11.2023): +- [Conda](https://anaconda.org/conda-forge/geojson) (πŸ“₯ 890K Β· ⏱️ 06.11.2023): ``` conda install -c conda-forge geojson ```
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GeoViews (πŸ₯‰28 Β· ⭐ 600) - Simple, concise geographical visualization in Python. BSD-3 +
GeoViews (πŸ₯‰29 Β· ⭐ 600) - Simple, concise geographical visualization in Python. BSD-3 - [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 77 Β· πŸ“¦ 1.2K Β· πŸ“‹ 360 - 31% open Β· ⏱️ 28.11.2024): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“¦ 63 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 20K / month Β· πŸ“¦ 63 Β· ⏱️ 28.11.2024): ``` pip install geoviews ``` @@ -3391,22 +3391,22 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 210K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 230K / month Β· πŸ“¦ 44 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 86K Β· ⏱️ 11.02.2024): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 87K Β· ⏱️ 11.02.2024): ``` conda install -c conda-forge pymap3d ```
Show 9 hidden projects... -- geopy (πŸ₯ˆ32 Β· ⭐ 4.5K Β· πŸ’€) - Geocoding library for Python. MIT -- Geocoder (πŸ₯ˆ32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯ˆ32 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- geopy (πŸ₯‰32 Β· ⭐ 4.5K Β· πŸ’€) - Geocoding library for Python. MIT +- Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT +- Satpy (πŸ₯‰32 Β· ⭐ 1.1K) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Sentinelsat (πŸ₯‰27 Β· ⭐ 990 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - EarthPy (πŸ₯‰26 Β· ⭐ 510 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 -- Sentinelsat (πŸ₯‰25 Β· ⭐ 990 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - prettymaps (πŸ₯‰24 Β· ⭐ 11K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - Mapbox GL (πŸ₯‰24 Β· ⭐ 670 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - gmaps (πŸ₯‰22 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 @@ -3422,12 +3422,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡42 Β· ⭐ 15K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.4K Β· πŸ“¦ 53K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.4K Β· πŸ“¦ 54K Β· πŸ“‹ 1.4K - 13% open Β· ⏱️ 08.12.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.9M / month Β· πŸ“¦ 710 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 3.6M / month Β· πŸ“¦ 710 Β· ⏱️ 19.11.2024): ``` pip install yfinance ``` @@ -3436,14 +3436,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
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bt (πŸ₯ˆ30 Β· ⭐ 2.3K) - bt - flexible backtesting for Python. MIT +
bt (πŸ₯ˆ31 Β· ⭐ 2.3K) - bt - flexible backtesting for Python. MIT - [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 430 Β· πŸ“¦ 1.6K Β· πŸ“‹ 340 - 22% open Β· ⏱️ 01.12.2024): ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“¦ 10 Β· ⏱️ 06.08.2024): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 9.3K / month Β· πŸ“¦ 10 Β· ⏱️ 06.08.2024): ``` pip install bt ``` @@ -3452,26 +3452,26 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c conda-forge bt ```
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Qlib (πŸ₯ˆ29 Β· ⭐ 16K Β· πŸ“ˆ) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
Qlib (πŸ₯ˆ29 Β· ⭐ 16K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.6K Β· πŸ“₯ 730 Β· πŸ“¦ 21 Β· πŸ“‹ 940 - 26% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 740 Β· πŸ“¦ 21 Β· πŸ“‹ 940 - 26% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 5K / month Β· πŸ“¦ 1 Β· ⏱️ 24.05.2024): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 5.1K / month Β· πŸ“¦ 1 Β· ⏱️ 24.05.2024): ``` pip install pyqlib ```
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ffn (πŸ₯ˆ29 Β· ⭐ 2K Β· πŸ“ˆ) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯ˆ29 Β· ⭐ 2.1K) - ffn - a financial function library for Python. MIT - [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 300 Β· πŸ“¦ 510 Β· πŸ“‹ 130 - 17% open Β· ⏱️ 01.12.2024): ``` git clone https://github.com/pmorissette/ffn ``` -- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 19K / month Β· πŸ“¦ 18 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/ffn) (πŸ“₯ 18K / month Β· πŸ“¦ 18 Β· ⏱️ 02.11.2024): ``` pip install ffn ``` @@ -3487,7 +3487,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/RomelTorres/alpha_vantage ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 59K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 48K / month Β· πŸ“¦ 35 Β· ⏱️ 18.07.2024): ``` pip install alpha_vantage ``` @@ -3498,7 +3498,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
IB-insync (πŸ₯ˆ27 Β· ⭐ 2.9K Β· πŸ’€) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 770 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 14.03.2024): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 780 Β· πŸ“‹ 590 - 3% open Β· ⏱️ 14.03.2024): ``` git clone https://github.com/erdewit/ib_insync @@ -3519,11 +3519,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` -- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 4.2K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensortrade) (πŸ“₯ 4.3K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge tensortrade ``` @@ -3535,50 +3535,50 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.9K / month Β· πŸ“¦ 11 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 11K / month Β· πŸ“¦ 11 Β· ⏱️ 30.07.2023): ``` pip install stockstats ```
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finmarketpy (πŸ₯‰20 Β· ⭐ 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2 +
finmarketpy (πŸ₯‰23 Β· ⭐ 3.5K) - Python library for backtesting trading strategies & analyzing.. Apache-2 - [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 490 Β· πŸ“₯ 57 Β· πŸ“¦ 16 Β· πŸ“‹ 29 - 86% open Β· ⏱️ 09.11.2024): ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 630 / month Β· ⏱️ 19.05.2024): ``` pip install finmarketpy ```
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tf-quant-finance (πŸ₯‰19 Β· ⭐ 4.6K) - High-performance TensorFlow library for quantitative.. Apache-2 +
tf-quant-finance (πŸ₯‰21 Β· ⭐ 4.6K) - High-performance TensorFlow library for quantitative.. Apache-2 - [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 580 Β· πŸ“‹ 63 - 55% open Β· ⏱️ 06.11.2024): ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“¦ 3 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 890 / month Β· πŸ“¦ 3 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ```
Show 15 hidden projects... +- zipline (πŸ₯‡32 Β· ⭐ 18K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - arch (πŸ₯‡32 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed -- zipline (πŸ₯‡31 Β· ⭐ 18K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 -- pyfolio (πŸ₯‡31 Β· ⭐ 5.7K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 +- pyfolio (πŸ₯ˆ31 Β· ⭐ 5.7K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - ta (πŸ₯ˆ30 Β· ⭐ 4.4K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT - backtrader (πŸ₯ˆ28 Β· ⭐ 15K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯ˆ27 Β· ⭐ 3.4K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - FinTA (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 +- PyAlgoTrade (πŸ₯‰24 Β· ⭐ 4.4K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 - Backtesting.py (πŸ₯‰22 Β· ⭐ 5.6K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - Crypto Signals (πŸ₯‰22 Β· ⭐ 5K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT -- PyAlgoTrade (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 -- FinQuant (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT +- FinQuant (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - surpriver (πŸ₯‰12 Β· ⭐ 1.8K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰10 Β· ⭐ 150 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -3590,14 +3590,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (πŸ₯‡37 Β· ⭐ 8K) - A unified framework for machine learning with time series. BSD-3 +
sktime (πŸ₯‡38 Β· ⭐ 8K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 1.4K Β· πŸ“₯ 100 Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.6K - 37% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 1.4K Β· πŸ“₯ 110 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.6K - 38% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“¦ 130 Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 960K / month Β· πŸ“¦ 130 Β· ⏱️ 09.12.2024): ``` pip install sktime ``` @@ -3606,14 +3606,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡34 Β· ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT +
Prophet (πŸ₯‡35 Β· ⭐ 19K) - Tool for producing high quality forecasts for time series data that has.. MIT - [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.9K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 19% open Β· ⏱️ 20.10.2024): ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“¦ 91 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 220K / month Β· πŸ“¦ 91 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3622,78 +3622,82 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge prophet ```
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tsfresh (πŸ₯‡32 Β· ⭐ 8.5K) - Automatic extraction of relevant features from time series:. MIT +
StatsForecast (πŸ₯‡34 Β· ⭐ 4K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 12% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 290 Β· πŸ“¦ 1.3K Β· πŸ“‹ 350 - 29% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/blue-yonder/tsfresh + git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 93 Β· ⏱️ 03.08.2024): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 1.2M / month Β· πŸ“¦ 59 Β· ⏱️ 26.11.2024): ``` - pip install tsfresh + pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.4M Β· ⏱️ 04.08.2024): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 110K Β· ⏱️ 05.12.2024): ``` - conda install -c conda-forge tsfresh + conda install -c conda-forge statsforecast ```
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pytorch-forecasting (πŸ₯‡32 Β· ⭐ 4K) - Time series forecasting with PyTorch. MIT +
tsfresh (πŸ₯ˆ32 Β· ⭐ 8.5K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 630 Β· πŸ“¦ 450 Β· πŸ“‹ 790 - 60% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 1.2K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 12% open Β· ⏱️ 19.11.2024): ``` - git clone https://github.com/jdb78/pytorch-forecasting + git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 61K / month Β· πŸ“¦ 22 Β· ⏱️ 19.11.2024): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 93 Β· ⏱️ 03.08.2024): ``` - pip install pytorch-forecasting + pip install tsfresh ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 68K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 1.4M Β· ⏱️ 04.08.2024): ``` - conda install -c conda-forge pytorch-forecasting + conda install -c conda-forge tsfresh ```
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pmdarima (πŸ₯‡32 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT +
Darts (πŸ₯ˆ32 Β· ⭐ 8.2K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 10K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 07.11.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 08.12.2024): ``` - git clone https://github.com/alkaline-ml/pmdarima + git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.6M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 74K / month Β· πŸ“¦ 10 Β· ⏱️ 13.10.2024): ``` - pip install pmdarima + pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1.2M Β· ⏱️ 14.07.2024): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 64K Β· ⏱️ 13.10.2024): ``` - conda install -c conda-forge pmdarima + conda install -c conda-forge u8darts-all + ``` +- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 920 Β· ⏱️ 17.04.2024): + ``` + docker pull unit8/darts ```
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StatsForecast (πŸ₯ˆ31 Β· ⭐ 4K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
pytorch-forecasting (πŸ₯ˆ32 Β· ⭐ 4K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 290 Β· πŸ“¦ 1.3K Β· πŸ“‹ 350 - 29% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/sktime/pytorch-forecasting) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 630 Β· πŸ“¦ 460 Β· πŸ“‹ 790 - 60% open Β· ⏱️ 10.12.2024): ``` - git clone https://github.com/Nixtla/statsforecast + git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“¦ 59 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 61K / month Β· πŸ“¦ 22 Β· ⏱️ 19.11.2024): ``` - pip install statsforecast + pip install pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 110K Β· ⏱️ 05.12.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 68K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge statsforecast + conda install -c conda-forge pytorch-forecasting ```
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STUMPY (πŸ₯ˆ31 Β· ⭐ 3.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 +
STUMPY (πŸ₯ˆ32 Β· ⭐ 3.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 960 Β· πŸ“‹ 520 - 13% open Β· ⏱️ 17.11.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 970 Β· πŸ“‹ 520 - 13% open Β· ⏱️ 17.11.2024): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“¦ 30 Β· ⏱️ 09.07.2024): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 280K / month Β· πŸ“¦ 30 Β· ⏱️ 09.07.2024): ``` pip install stumpy ``` @@ -3702,14 +3706,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge stumpy ```
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NeuralForecast (πŸ₯ˆ31 Β· ⭐ 3.1K) - Scalable and user friendly neural forecasting algorithms. Apache-2 +
NeuralForecast (πŸ₯ˆ32 Β· ⭐ 3.2K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 360 Β· πŸ“¦ 260 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 22.11.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 360 Β· πŸ“¦ 270 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 22.11.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 56K / month Β· πŸ“¦ 21 Β· ⏱️ 22.11.2024): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 61K / month Β· πŸ“¦ 21 Β· ⏱️ 22.11.2024): ``` pip install neuralforecast ``` @@ -3718,6 +3722,22 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge neuralforecast ```
+
pmdarima (πŸ₯ˆ32 Β· ⭐ 1.6K) - A statistical library designed to fill the void in Pythons time series.. MIT + +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 10K Β· πŸ“‹ 340 - 19% open Β· ⏱️ 07.11.2024): + + ``` + git clone https://github.com/alkaline-ml/pmdarima + ``` +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.6M / month Β· πŸ“¦ 150 Β· ⏱️ 23.10.2023): + ``` + pip install pmdarima + ``` +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1.2M Β· ⏱️ 14.07.2024): + ``` + conda install -c conda-forge pmdarima + ``` +
skforecast (πŸ₯ˆ31 Β· ⭐ 1.2K) - Time series forecasting with machine learning models. BSD-3 - [GitHub](https://github.com/skforecast/skforecast) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 140 Β· πŸ“¦ 370 Β· πŸ“‹ 180 - 12% open Β· ⏱️ 28.11.2024): @@ -3725,29 +3745,25 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 90K / month Β· πŸ“¦ 15 Β· ⏱️ 11.11.2024): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 93K / month Β· πŸ“¦ 15 Β· ⏱️ 11.11.2024): ``` pip install skforecast ```
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Darts (πŸ₯ˆ30 Β· ⭐ 8.1K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 +
GluonTS (πŸ₯ˆ30 Β· ⭐ 4.7K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 880 Β· πŸ“‹ 1.6K - 15% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 760 Β· πŸ“‹ 960 - 33% open Β· ⏱️ 05.11.2024): ``` - git clone https://github.com/unit8co/darts - ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“¦ 10 Β· ⏱️ 13.10.2024): - ``` - pip install u8darts + git clone https://github.com/awslabs/gluon-ts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 63K Β· ⏱️ 13.10.2024): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 860K / month Β· πŸ“¦ 33 Β· ⏱️ 11.11.2024): ``` - conda install -c conda-forge u8darts-all + pip install gluonts ``` -- [Docker Hub](https://hub.docker.com/r/unit8/darts) (πŸ“₯ 920 Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 1.1K Β· ⏱️ 10.12.2024): ``` - docker pull unit8/darts + conda install -c anaconda gluonts ```
tslearn (πŸ₯ˆ30 Β· ⭐ 2.9K) - The machine learning toolkit for time series analysis in Python. BSD-2 @@ -3757,7 +3773,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 390K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 400K / month Β· πŸ“¦ 79 Β· ⏱️ 12.12.2023): ``` pip install tslearn ``` @@ -3766,60 +3782,68 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tslearn ```
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NeuralProphet (πŸ₯ˆ27 Β· ⭐ 3.9K) - NeuralProphet: A simple forecasting package. MIT +
NeuralProphet (πŸ₯‰27 Β· ⭐ 3.9K) - NeuralProphet: A simple forecasting package. MIT - [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 480 Β· πŸ“‹ 560 - 10% open Β· ⏱️ 13.09.2024): ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 88K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 75K / month Β· πŸ“¦ 8 Β· ⏱️ 26.06.2024): ``` pip install neuralprophet ```
Streamz (πŸ₯‰26 Β· ⭐ 1.2K) - Real-time stream processing for python. BSD-3 -- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 150 Β· πŸ“¦ 500 Β· πŸ“‹ 270 - 44% open Β· ⏱️ 22.11.2024): +- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 150 Β· πŸ“¦ 510 Β· πŸ“‹ 270 - 44% open Β· ⏱️ 22.11.2024): ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“¦ 57 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 18K / month Β· πŸ“¦ 57 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` -- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 1.2M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 1.3M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge streamz ```
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GluonTS (πŸ₯‰25 Β· ⭐ 4.7K) - Probabilistic time series modeling in Python. Apache-2 +
TSFEL (πŸ₯‰22 Β· ⭐ 950) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 760 Β· πŸ“‹ 960 - 33% open Β· ⏱️ 05.11.2024): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 160 Β· πŸ“‹ 79 - 8% open Β· ⏱️ 17.10.2024): ``` - git clone https://github.com/awslabs/gluon-ts + git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“¦ 33 Β· ⏱️ 11.11.2024): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 15K / month Β· πŸ“¦ 7 Β· ⏱️ 12.09.2024): ``` - pip install gluonts + pip install tsfel ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 1.1K Β· ⏱️ 22.12.2023): +
+
greykite (πŸ₯‰21 Β· ⭐ 1.8K Β· πŸ’€) - A flexible, intuitive and fast forecasting library. BSD-2 + +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“₯ 36 Β· πŸ“¦ 35 Β· πŸ“‹ 110 - 27% open Β· ⏱️ 16.01.2024): + ``` - conda install -c anaconda gluonts + git clone https://github.com/linkedin/greykite + ``` +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 8.2K / month Β· ⏱️ 12.01.2024): + ``` + pip install greykite ```
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TSFEL (πŸ₯‰20 Β· ⭐ 950) - An intuitive library to extract features from time series. BSD-3 +
pydlm (πŸ₯‰20 Β· ⭐ 480) - A python library for Bayesian time series modeling. BSD-3 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 160 Β· πŸ“‹ 79 - 10% open Β· ⏱️ 17.10.2024): +- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 98 Β· πŸ“¦ 37 Β· πŸ“‹ 56 - 73% open Β· ⏱️ 07.09.2024): ``` - git clone https://github.com/fraunhoferportugal/tsfel + git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“¦ 7 Β· ⏱️ 12.09.2024): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): ``` - pip install tsfel + pip install pydlm ```
tsflex (πŸ₯‰20 Β· ⭐ 400) - Flexible time series feature extraction & processing. MIT @@ -3838,19 +3862,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsflex ```
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pydlm (πŸ₯‰19 Β· ⭐ 480) - A python library for Bayesian time series modeling. BSD-3 - -- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 98 Β· πŸ“¦ 37 Β· πŸ“‹ 56 - 73% open Β· ⏱️ 07.09.2024): - - ``` - git clone https://github.com/wwrechard/pydlm - ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 13.08.2024): - ``` - pip install pydlm - ``` -
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Auto TS (πŸ₯‰18 Β· ⭐ 740 Β· πŸ’€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
Auto TS (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 120 Β· πŸ“‹ 89 - 2% open Β· ⏱️ 05.05.2024): @@ -3862,29 +3874,17 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install auto-ts ```
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greykite (πŸ₯‰16 Β· ⭐ 1.8K Β· πŸ’€) - A flexible, intuitive and fast forecasting library. BSD-2 - -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“₯ 36 Β· πŸ“¦ 34 Β· πŸ“‹ 110 - 27% open Β· ⏱️ 16.01.2024): - - ``` - git clone https://github.com/linkedin/greykite - ``` -- [PyPi](https://pypi.org/project/greykite) (⏱️ 12.01.2024): - ``` - pip install greykite - ``` -
Show 10 hidden projects... +- pyts (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python package for time series classification. BSD-3 - PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 -- pyts (πŸ₯‰23 Β· ⭐ 1.8K Β· πŸ’€) - A Python package for time series classification. BSD-3 -- tick (πŸ₯‰19 Β· ⭐ 490 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- luminol (πŸ₯‰18 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 -- ADTK (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 -- seglearn (πŸ₯‰18 Β· ⭐ 570 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 -- matrixprofile-ts (πŸ₯‰17 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 +- luminol (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - Anomaly Detection and Correlation library. Apache-2 +- tick (πŸ₯‰22 Β· ⭐ 500 Β· πŸ’€) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 +- ADTK (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in.. MPL-2.0 +- seglearn (πŸ₯‰21 Β· ⭐ 570 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 +- matrixprofile-ts (πŸ₯‰19 Β· ⭐ 730 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰15 Β· ⭐ 510 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT -- tsaug (πŸ₯‰11 Β· ⭐ 350 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 +- tsaug (πŸ₯‰14 Β· ⭐ 350 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 - tslumen (πŸ₯‰8 Β· ⭐ 68 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -3897,12 +3897,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.8K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.7K Β· πŸ“‹ 4.9K - 10% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 1.3K Β· πŸ“¦ 4.8K Β· πŸ“‹ 4.9K - 10% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 170K / month Β· πŸ“¦ 390 Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 160K / month Β· πŸ“¦ 390 Β· ⏱️ 19.08.2024): ``` pip install mne ``` @@ -3911,22 +3911,38 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge mne ```
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Nilearn (πŸ₯‡39 Β· ⭐ 1.2K Β· πŸ“ˆ) - Machine learning for NeuroImaging in Python. BSD-3 +
Nilearn (πŸ₯‡39 Β· ⭐ 1.2K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 600 Β· πŸ“₯ 260 Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 600 Β· πŸ“₯ 270 Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.2K - 13% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 68K / month Β· πŸ“¦ 310 Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 69K / month Β· πŸ“¦ 310 Β· ⏱️ 02.12.2024): ``` pip install nilearn ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 300K Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 310K Β· ⏱️ 02.12.2024): ``` conda install -c conda-forge nilearn ```
+
MONAI (πŸ₯ˆ36 Β· ⭐ 6K) - AI Toolkit for Healthcare Imaging. Apache-2 + +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 10.12.2024): + + ``` + git clone https://github.com/Project-MONAI/MONAI + ``` +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 220K / month Β· πŸ“¦ 140 Β· ⏱️ 10.12.2024): + ``` + pip install monai + ``` +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 35K Β· ⏱️ 17.10.2024): + ``` + conda install -c conda-forge monai + ``` +
NIPYPE (πŸ₯ˆ36 Β· ⭐ 750) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 530 Β· πŸ“¦ 5.4K Β· πŸ“‹ 1.4K - 30% open Β· ⏱️ 04.12.2024): @@ -3938,46 +3954,30 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install nipype ``` -- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 720K Β· ⏱️ 20.11.2024): +- [Conda](https://anaconda.org/conda-forge/nipype) (πŸ“₯ 730K Β· ⏱️ 20.11.2024): ``` conda install -c conda-forge nipype ```
NiBabel (πŸ₯ˆ36 Β· ⭐ 660) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 23K Β· πŸ“‹ 540 - 23% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 260 Β· πŸ“¦ 24K Β· πŸ“‹ 540 - 23% open Β· ⏱️ 07.12.2024): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 2.4M / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 23.10.2024): ``` pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 800K Β· ⏱️ 23.10.2024): +- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 810K Β· ⏱️ 23.10.2024): ``` conda install -c conda-forge nibabel ```
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MONAI (πŸ₯ˆ33 Β· ⭐ 5.9K) - AI Toolkit for Healthcare Imaging. Apache-2 - -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 3.2K - 12% open Β· ⏱️ 04.12.2024): - - ``` - git clone https://github.com/Project-MONAI/MONAI - ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“¦ 120 Β· ⏱️ 16.10.2024): - ``` - pip install monai - ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 35K Β· ⏱️ 17.10.2024): - ``` - conda install -c conda-forge monai - ``` -
Lifelines (πŸ₯ˆ33 Β· ⭐ 2.4K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 560 Β· πŸ“¦ 3.1K Β· πŸ“‹ 980 - 27% open Β· ⏱️ 29.10.2024): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 560 Β· πŸ“¦ 3.2K Β· πŸ“‹ 980 - 27% open Β· ⏱️ 29.10.2024): ``` git clone https://github.com/CamDavidsonPilon/lifelines @@ -3986,43 +3986,43 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install lifelines ``` -- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 380K Β· ⏱️ 29.10.2024): +- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 390K Β· ⏱️ 29.10.2024): ``` conda install -c conda-forge lifelines ```
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Hail (πŸ₯ˆ28 Β· ⭐ 980) - Cloud-native genomic dataframes and batch computing. MIT +
Hail (πŸ₯ˆ33 Β· ⭐ 980) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 150 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 09.11.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 250 Β· πŸ“¦ 150 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“¦ 34 Β· ⏱️ 04.10.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 270K / month Β· πŸ“¦ 34 Β· ⏱️ 04.10.2024): ``` pip install hail ```
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DeepVariant (πŸ₯‰27 Β· ⭐ 3.2K Β· πŸ“ˆ) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3 +
DeepVariant (πŸ₯‰27 Β· ⭐ 3.3K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 720 Β· πŸ“₯ 4.8K Β· πŸ“‹ 840 - 0% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/google/deepvariant) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 720 Β· πŸ“₯ 4.8K Β· πŸ“‹ 850 - 1% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 71K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 72K Β· ⏱️ 16.06.2023): ``` conda install -c bioconda deepvariant ```
Brainiak (πŸ₯‰20 Β· ⭐ 340) - Brain Imaging Analysis Kit. Apache-2 -- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 39% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 140 Β· πŸ“‹ 230 - 39% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 2.3K / month Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 3.2K / month Β· ⏱️ 11.12.2024): ``` pip install brainiak ``` @@ -4033,15 +4033,15 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects... -- DIPY (πŸ₯ˆ32 Β· ⭐ 720) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed +- DIPY (πŸ₯ˆ31 Β· ⭐ 720 Β· πŸ“‰) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed - NIPY (πŸ₯‰27 Β· ⭐ 380) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - NiftyNet (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰24 Β· ⭐ 580) - Medical image processing in Python. ❗️GPL-3.0 - Glow (πŸ₯‰22 Β· ⭐ 270) - An open-source toolkit for large-scale genomic analysis. Apache-2 - DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - MedicalTorch (πŸ₯‰15 Β· ⭐ 850 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 -- DeepNeuro (πŸ₯‰15 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - Medical Detection Toolkit (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 +- DeepNeuro (πŸ₯‰14 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰12 Β· ⭐ 2K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT

@@ -4052,14 +4052,26 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic _Libraries for processing tabular and structured data._ -
miceforest (πŸ₯‡22 Β· ⭐ 350) - Multiple Imputation with LightGBM in Python. MIT +
pytorch_tabular (πŸ₯‡24 Β· ⭐ 1.4K) - A standard framework for modelling Deep Learning Models.. MIT + +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 140 Β· πŸ“₯ 52 Β· πŸ“‹ 160 - 6% open Β· ⏱️ 10.12.2024): + + ``` + git clone https://github.com/manujosephv/pytorch_tabular + ``` +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 6K / month Β· πŸ“¦ 9 Β· ⏱️ 28.11.2024): + ``` + pip install pytorch_tabular + ``` +
+
miceforest (πŸ₯ˆ22 Β· ⭐ 360) - Multiple Imputation with LightGBM in Python. MIT -- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 170 Β· πŸ“‹ 85 - 8% open Β· ⏱️ 02.08.2024): +- [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 30 Β· πŸ“¦ 180 Β· πŸ“‹ 85 - 8% open Β· ⏱️ 02.08.2024): ``` git clone https://github.com/AnotherSamWilson/miceforest ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 57K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 58K / month Β· πŸ“¦ 9 Β· ⏱️ 02.08.2024): ``` pip install miceforest ``` @@ -4068,28 +4080,16 @@ _Libraries for processing tabular and structured data._ conda install -c conda-forge miceforest ```
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upgini (πŸ₯ˆ21 Β· ⭐ 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 +
upgini (πŸ₯‰21 Β· ⭐ 320) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3 - [GitHub](https://github.com/upgini/upgini) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 25 Β· πŸ“¦ 9 Β· ⏱️ 29.11.2024): ``` git clone https://github.com/upgini/upgini ``` -- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 20K / month Β· ⏱️ 29.11.2024): - ``` - pip install upgini - ``` -
-
pytorch_tabular (πŸ₯‰20 Β· ⭐ 1.4K) - A standard framework for modelling Deep Learning Models.. MIT - -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 140 Β· πŸ“₯ 50 Β· πŸ“‹ 160 - 6% open Β· ⏱️ 28.11.2024): - - ``` - git clone https://github.com/manujosephv/pytorch_tabular - ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“¦ 9 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/upgini) (πŸ“₯ 19K / month Β· ⏱️ 29.11.2024): ``` - pip install pytorch_tabular + pip install upgini ```
carefree-learn (πŸ₯‰18 Β· ⭐ 410 Β· πŸ’€) - Deep Learning PyTorch. MIT @@ -4099,7 +4099,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 1.8K / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 2K / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ``` @@ -4118,7 +4118,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡41 Β· ⭐ 45K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.8K Β· πŸ“₯ 800K Β· πŸ“¦ 3.8K Β· πŸ“‹ 9.4K - 1% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.8K Β· πŸ“₯ 850K Β· πŸ“¦ 3.9K Β· πŸ“‹ 9.4K - 1% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR @@ -4128,42 +4128,42 @@ _Libraries for optical character recognition (OCR) and text extraction from imag pip install paddleocr ```
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EasyOCR (πŸ₯‡33 Β· ⭐ 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
OCRmyPDF (πŸ₯‡35 Β· ⭐ 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.2K Β· πŸ“₯ 16M Β· πŸ“¦ 9.8K Β· πŸ“‹ 1K - 42% open Β· ⏱️ 24.09.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“₯ 5.9K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/JaidedAI/EasyOCR + git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“¦ 210 Β· ⏱️ 24.09.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 180K / month Β· πŸ“¦ 37 Β· ⏱️ 09.12.2024): ``` - pip install easyocr + pip install ocrmypdf + ``` +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 85K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ocrmypdf ```
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OCRmyPDF (πŸ₯‡33 Β· ⭐ 14K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
EasyOCR (πŸ₯ˆ34 Β· ⭐ 25K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1K Β· πŸ“₯ 5.8K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.2K Β· πŸ“₯ 17M Β· πŸ“¦ 9.9K Β· πŸ“‹ 1K - 42% open Β· ⏱️ 24.09.2024): ``` - git clone https://github.com/ocrmypdf/OCRmyPDF - ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“¦ 36 Β· ⏱️ 17.11.2024): - ``` - pip install ocrmypdf + git clone https://github.com/JaidedAI/EasyOCR ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 84K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 740K / month Β· πŸ“¦ 210 Β· ⏱️ 24.09.2024): ``` - conda install -c conda-forge ocrmypdf + pip install easyocr ```
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Tesseract (πŸ₯ˆ31 Β· ⭐ 5.9K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
Tesseract (πŸ₯ˆ33 Β· ⭐ 5.9K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 720 Β· πŸ“‹ 360 - 2% open Β· ⏱️ 22.11.2024): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“¦ 970 Β· ⏱️ 16.08.2024): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.6M / month Β· πŸ“¦ 970 Β· ⏱️ 16.08.2024): ``` pip install pytesseract ``` @@ -4174,7 +4174,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ30 Β· ⭐ 2K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 670 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 18% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 680 Β· πŸ“¦ 1.1K Β· πŸ“‹ 280 - 18% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/sirfz/tesserocr @@ -4188,14 +4188,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
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MMOCR (πŸ₯‰23 Β· ⭐ 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 +
MMOCR (πŸ₯‰26 Β· ⭐ 4.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 - [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 750 Β· πŸ“¦ 180 Β· πŸ“‹ 930 - 20% open Β· ⏱️ 27.11.2024): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“¦ 4 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.5K / month Β· πŸ“¦ 4 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4203,10 +4203,10 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
Show 6 hidden projects... - keras-ocr (πŸ₯‰25 Β· ⭐ 1.4K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT +- calamari (πŸ₯‰24 Β· ⭐ 1.1K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 - pdftabextract (πŸ₯‰21 Β· ⭐ 2.2K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - attention-ocr (πŸ₯‰21 Β· ⭐ 1.1K Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT -- calamari (πŸ₯‰21 Β· ⭐ 1.1K) - Line based ATR Engine based on OCRopy. ❗️GPL-3.0 -- doc2text (πŸ₯‰17 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - Mozart (πŸ₯‰10 Β· ⭐ 620 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

@@ -4259,28 +4259,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡46 Β· ⭐ 34K) - Ray is an AI compute engine. Ray consists of a core distributed runtime.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.8K Β· πŸ“₯ 250 Β· πŸ“¦ 19K Β· πŸ“‹ 20K - 21% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.8K Β· πŸ“₯ 250 Β· πŸ“¦ 20K Β· πŸ“‹ 20K - 21% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 6.5M / month Β· πŸ“¦ 820 Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 6.4M / month Β· πŸ“¦ 820 Β· ⏱️ 03.12.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 480K Β· ⏱️ 24.11.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 490K Β· ⏱️ 06.12.2024): ``` conda install -c conda-forge ray-tune ```
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dask (πŸ₯‡42 Β· ⭐ 13K) - Parallel computing with task scheduling. BSD-3 +
dask (πŸ₯‡44 Β· ⭐ 13K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 1.7K Β· πŸ“¦ 67K Β· πŸ“‹ 5.4K - 20% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 610 Β· πŸ”€ 1.7K Β· πŸ“¦ 68K Β· πŸ“‹ 5.4K - 20% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“¦ 2.5K Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 16M / month Β· πŸ“¦ 2.5K Β· ⏱️ 03.12.2024): ``` pip install dask ``` @@ -4291,12 +4291,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (πŸ₯‡41 Β· ⭐ 36K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 4.1K Β· πŸ“¦ 9.9K Β· πŸ“‹ 3K - 36% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 4.1K Β· πŸ“¦ 10K Β· πŸ“‹ 3K - 36% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 580K / month Β· πŸ“¦ 230 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 560K / month Β· πŸ“¦ 230 Β· ⏱️ 05.12.2024): ``` pip install deepspeed ``` @@ -4307,12 +4307,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.6K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 38K Β· πŸ“‹ 4K - 39% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 720 Β· πŸ“¦ 38K Β· πŸ“‹ 4K - 39% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 6.2M / month Β· πŸ“¦ 880 Β· ⏱️ 03.12.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 6.3M / month Β· πŸ“¦ 880 Β· ⏱️ 03.12.2024): ``` pip install distributed ``` @@ -4321,14 +4321,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge distributed ```
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metrics (πŸ₯ˆ36 Β· ⭐ 2.1K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 +
horovod (πŸ₯ˆ36 Β· ⭐ 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 400 Β· πŸ“₯ 5.8K Β· πŸ“¦ 33K Β· πŸ“‹ 890 - 8% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 31.08.2024): + + ``` + git clone https://github.com/horovod/horovod + ``` +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 99K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): + ``` + pip install horovod + ``` +
+
metrics (πŸ₯ˆ36 Β· ⭐ 2.2K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 + +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 400 Β· πŸ“₯ 5.9K Β· πŸ“¦ 34K Β· πŸ“‹ 890 - 8% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.7K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 4.6K / month Β· πŸ“¦ 2 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4337,72 +4349,76 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge torchmetrics ```
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horovod (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“ˆ) - Distributed training framework for TensorFlow, Keras, PyTorch,.. Apache-2 +
H2O-3 (πŸ₯ˆ34 Β· ⭐ 7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.3K Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 31.08.2024): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.5K - 29% open Β· ⏱️ 13.11.2024): ``` - git clone https://github.com/horovod/horovod + git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 110K / month Β· πŸ“¦ 33 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 230K / month Β· πŸ“¦ 49 Β· ⏱️ 02.11.2024): ``` - pip install horovod + pip install h2o ```
ColossalAI (πŸ₯ˆ33 Β· ⭐ 39K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.3K Β· πŸ“¦ 440 Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 4.3K Β· πŸ“¦ 450 Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/hpcaitech/colossalai ```
-
H2O-3 (πŸ₯ˆ30 Β· ⭐ 6.9K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 +
BigDL (πŸ₯ˆ33 Β· ⭐ 6.8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.5K - 29% open Β· ⏱️ 13.11.2024): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.3K Β· πŸ“₯ 640 Β· πŸ“‹ 2.6K - 38% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/h2oai/h2o-3 + git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“¦ 49 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` - pip install h2o + pip install bigdl + ``` +- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (πŸ“¦ 5 Β· ⏱️ 20.04.2021): + ``` + + com.intel.analytics.bigdl + bigdl-SPARK_2.4 + [VERSION] + ```
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FairScale (πŸ₯ˆ30 Β· ⭐ 3.2K Β· πŸ’€) - PyTorch extensions for high performance and large scale.. BSD-3 +
FairScale (πŸ₯ˆ31 Β· ⭐ 3.2K Β· πŸ’€) - PyTorch extensions for high performance and large scale.. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 6.9K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 280 Β· πŸ“¦ 7K Β· πŸ“‹ 390 - 26% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“¦ 150 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 420K / month Β· πŸ“¦ 150 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` -- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 340K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 350K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge fairscale ```
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BigDL (πŸ₯ˆ29 Β· ⭐ 6.8K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 +
mpi4py (πŸ₯ˆ30 Β· ⭐ 820) - Python bindings for MPI. BSD-3 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.3K Β· πŸ“₯ 640 Β· πŸ“‹ 2.6K - 38% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 29K Β· πŸ“‹ 190 - 4% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/intel-analytics/BigDL + git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 450K / month Β· πŸ“¦ 750 Β· ⏱️ 11.10.2024): ``` - pip install bigdl + pip install mpi4py ``` -- [Maven](https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4) (πŸ“¦ 5 Β· ⏱️ 20.04.2021): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.2M Β· ⏱️ 12.10.2024): ``` - - com.intel.analytics.bigdl - bigdl-SPARK_2.4 - [VERSION] - + conda install -c conda-forge mpi4py ```
SynapseML (πŸ₯ˆ29 Β· ⭐ 5.1K) - Simple and Distributed Machine Learning. MIT @@ -4417,23 +4433,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install synapseml ```
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mpi4py (πŸ₯ˆ29 Β· ⭐ 820) - Python bindings for MPI. BSD-3 +
Submit it (πŸ₯ˆ29 Β· ⭐ 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 120 Β· πŸ“₯ 28K Β· πŸ“‹ 190 - 4% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 120 Β· πŸ“¦ 3.6K Β· πŸ“‹ 130 - 38% open Β· ⏱️ 18.09.2024): ``` - git clone https://github.com/mpi4py/mpi4py + git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“¦ 750 Β· ⏱️ 11.10.2024): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 450K / month Β· πŸ“¦ 49 Β· ⏱️ 18.09.2024): ``` - pip install mpi4py + pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 3.2M Β· ⏱️ 12.10.2024): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 44K Β· ⏱️ 19.11.2024): ``` - conda install -c conda-forge mpi4py + conda install -c conda-forge submitit ```
-
petastorm (πŸ₯ˆ28 Β· ⭐ 1.8K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 +
petastorm (πŸ₯‰28 Β· ⭐ 1.8K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 - [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 280 Β· πŸ“₯ 540 Β· πŸ“¦ 190 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 02.12.2023): @@ -4445,14 +4461,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install petastorm ```
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dask-ml (πŸ₯ˆ28 Β· ⭐ 910) - Scalable Machine Learning with Dask. BSD-3 +
dask-ml (πŸ₯‰28 Β· ⭐ 910) - Scalable Machine Learning with Dask. BSD-3 - [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 260 Β· πŸ“¦ 1.2K Β· πŸ“‹ 540 - 52% open Β· ⏱️ 25.11.2024): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 120K / month Β· πŸ“¦ 93 Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 130K / month Β· πŸ“¦ 93 Β· ⏱️ 02.04.2024): ``` pip install dask-ml ``` @@ -4468,30 +4484,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1.3K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 1.2K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): ``` pip install hivemind ```
-
Submit it (πŸ₯‰25 Β· ⭐ 1.3K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT - -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 120 Β· πŸ“¦ 3.6K Β· πŸ“‹ 130 - 39% open Β· ⏱️ 18.09.2024): - - ``` - git clone https://github.com/facebookincubator/submitit - ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“¦ 49 Β· ⏱️ 18.09.2024): - ``` - pip install submitit - ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 44K Β· ⏱️ 19.11.2024): - ``` - conda install -c conda-forge submitit - ``` -
Apache Singa (πŸ₯‰24 Β· ⭐ 3.4K) - a distributed deep learning platform. Apache-2 -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.2K Β· πŸ“¦ 5 Β· πŸ“‹ 130 - 37% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.2K Β· πŸ“¦ 5 Β· πŸ“‹ 140 - 37% open Β· ⏱️ 29.11.2024): ``` git clone https://github.com/apache/singa @@ -4517,36 +4517,36 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install mmlspark ```
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analytics-zoo (πŸ₯‰19 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 +
analytics-zoo (πŸ₯‰22 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 - [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 20.11.2024): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 3.9K / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ```
Show 17 hidden projects... -- DEAP (πŸ₯ˆ32 Β· ⭐ 5.9K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- DEAP (πŸ₯ˆ34 Β· ⭐ 5.9K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ31 Β· ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed +- TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras -- TensorFlowOnSpark (πŸ₯‰23 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - BytePS (πŸ₯‰22 Β· ⭐ 3.6K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - Mesh (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2 - sk-dist (πŸ₯‰21 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - somoclu (πŸ₯‰20 Β· ⭐ 270 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT -- launchpad (πŸ₯‰19 Β· ⭐ 310 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 +- launchpad (πŸ₯‰19 Β· ⭐ 320 Β· πŸ’€) - Launchpad is a library that simplifies writing.. Apache-2 - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.3K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - bluefog (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 +- parallelformers (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - TensorFrames (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - Tensorflow wrapper for DataFrames on Apache Spark. Apache-2 -- parallelformers (πŸ₯‰15 Β· ⭐ 780 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - LazyCluster (πŸ₯‰14 Β· ⭐ 49 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 -- autodist (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 +- autodist (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 - moolib (πŸ₯‰11 Β· ⭐ 370 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT

@@ -4557,14 +4557,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
Optuna (πŸ₯‡40 Β· ⭐ 11K) - A hyperparameter optimization framework. MIT +
Optuna (πŸ₯‡43 Β· ⭐ 11K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1K Β· πŸ“¦ 20K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/optuna/optuna) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1K Β· πŸ“¦ 20K Β· πŸ“‹ 1.7K - 3% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/optuna/optuna ``` -- [PyPi](https://pypi.org/project/optuna) (πŸ“¦ 1K Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/optuna) (πŸ“₯ 4.1M / month Β· πŸ“¦ 1K Β· ⏱️ 12.11.2024): ``` pip install optuna ``` @@ -4573,34 +4573,18 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge optuna ```
-
Ax (πŸ₯‡36 Β· ⭐ 2.4K) - Adaptive Experimentation Platform. MIT - -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 310 Β· πŸ“¦ 850 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 04.12.2024): - - ``` - git clone https://github.com/facebook/Ax - ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 110K / month Β· πŸ“¦ 54 Β· ⏱️ 23.09.2024): - ``` - pip install ax-platform - ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 30K Β· ⏱️ 24.09.2024): - ``` - conda install -c conda-forge ax-platform - ``` -
-
AutoGluon (πŸ₯‡34 Β· ⭐ 8.1K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 +
AutoGluon (πŸ₯‡36 Β· ⭐ 8.2K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 930 Β· πŸ“¦ 890 Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 930 Β· πŸ“¦ 900 Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“¦ 27 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 220K / month Β· πŸ“¦ 28 Β· ⏱️ 12.12.2024): ``` pip install autogluon ``` -- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 23K Β· ⏱️ 30.11.2024): +- [Conda](https://anaconda.org/conda-forge/autogluon) (πŸ“₯ 24K Β· ⏱️ 10.12.2024): ``` conda install -c conda-forge autogluon ``` @@ -4609,32 +4593,36 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc docker pull autogluon/autogluon ```
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BoTorch (πŸ₯‡34 Β· ⭐ 3.1K) - Bayesian optimization in PyTorch. MIT +
Ax (πŸ₯‡36 Β· ⭐ 2.4K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 400 Β· πŸ“¦ 1.3K Β· πŸ“‹ 560 - 14% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 310 Β· πŸ“¦ 850 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/pytorch/botorch + git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 170K / month Β· πŸ“¦ 84 Β· ⏱️ 17.09.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 110K / month Β· πŸ“¦ 54 Β· ⏱️ 23.09.2024): ``` - pip install botorch + pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 130K Β· ⏱️ 20.09.2024): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 30K Β· ⏱️ 24.09.2024): ``` - conda install -c conda-forge botorch + conda install -c conda-forge ax-platform ```
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Bayesian Optimization (πŸ₯‡33 Β· ⭐ 8K) - A Python implementation of global optimization with.. MIT +
BoTorch (πŸ₯‡34 Β· ⭐ 3.1K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.5K Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 370 - 2% open Β· ⏱️ 21.10.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 400 Β· πŸ“¦ 1.3K Β· πŸ“‹ 560 - 14% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/fmfn/BayesianOptimization + git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 430K / month Β· πŸ“¦ 150 Β· ⏱️ 21.10.2024): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 180K / month Β· πŸ“¦ 84 Β· ⏱️ 17.09.2024): ``` - pip install bayesian-optimization + pip install botorch + ``` +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 130K Β· ⏱️ 20.09.2024): + ``` + conda install -c conda-forge botorch ```
Hyperopt (πŸ₯‡33 Β· ⭐ 7.3K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 @@ -4653,14 +4641,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge hyperopt ```
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nevergrad (πŸ₯ˆ32 Β· ⭐ 4K) - A Python toolbox for performing gradient-free optimization. MIT +
Bayesian Optimization (πŸ₯‡32 Β· ⭐ 8K Β· πŸ“‰) - A Python implementation of global optimization with.. MIT + +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 1.6K Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 370 - 2% open Β· ⏱️ 09.12.2024): + + ``` + git clone https://github.com/fmfn/BayesianOptimization + ``` +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 410K / month Β· πŸ“¦ 150 Β· ⏱️ 09.12.2024): + ``` + pip install bayesian-optimization + ``` +
+
nevergrad (πŸ₯‡32 Β· ⭐ 4K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 360 Β· πŸ“¦ 790 Β· πŸ“‹ 310 - 39% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 360 Β· πŸ“¦ 790 Β· πŸ“‹ 310 - 39% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 140K / month Β· πŸ“¦ 62 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 120K / month Β· πŸ“¦ 62 Β· ⏱️ 01.12.2024): ``` pip install nevergrad ``` @@ -4671,12 +4671,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (πŸ₯ˆ31 Β· ⭐ 9.2K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 19K Β· πŸ“¦ 770 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 05.11.2024): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 19K Β· πŸ“¦ 780 Β· πŸ“‹ 900 - 16% open Β· ⏱️ 05.11.2024): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 26K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 27K / month Β· πŸ“¦ 13 Β· ⏱️ 20.03.2024): ``` pip install autokeras ``` @@ -4688,7 +4688,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 61K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 63K / month Β· πŸ“¦ 74 Β· ⏱️ 14.05.2024): ``` pip install featuretools ``` @@ -4699,12 +4699,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (πŸ₯ˆ31 Β· ⭐ 2.9K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 4.7K Β· πŸ“‹ 490 - 44% open Β· ⏱️ 24.06.2024): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 400 Β· πŸ“¦ 4.8K Β· πŸ“‹ 490 - 44% open Β· ⏱️ 24.06.2024): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 280K / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 370K / month Β· πŸ“¦ 120 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` @@ -4724,19 +4724,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 26K Β· ⏱️ 12.11.2024): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 27K Β· ⏱️ 12.11.2024): ``` conda install -c conda-forge mljar-supervised ```
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lazypredict (πŸ₯ˆ27 Β· ⭐ 3K) - Lazy Predict help build a lot of basic models without much code.. MIT +
lazypredict (πŸ₯ˆ30 Β· ⭐ 3K) - Lazy Predict help build a lot of basic models without much code.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 340 Β· πŸ“¦ 1.2K Β· πŸ“‹ 130 - 70% open Β· ⏱️ 03.11.2024): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 340 Β· πŸ“¦ 1.2K Β· πŸ“‹ 140 - 70% open Β· ⏱️ 03.11.2024): ``` git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“¦ 6 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 02.11.2024): ``` pip install lazypredict ``` @@ -4752,19 +4752,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.9K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.8K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` pip install talos ```
+
FEDOT (πŸ₯ˆ24 Β· ⭐ 650) - Automated modeling and machine learning framework FEDOT. BSD-3 + +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 88 Β· πŸ“¦ 55 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 15.11.2024): + + ``` + git clone https://github.com/nccr-itmo/FEDOT + ``` +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 28.08.2024): + ``` + pip install fedot + ``` +
Hyperactive (πŸ₯ˆ24 Β· ⭐ 510) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 42 Β· πŸ“₯ 280 Β· πŸ“¦ 36 Β· πŸ“‹ 77 - 18% open Β· ⏱️ 13.11.2024): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 42 Β· πŸ“₯ 290 Β· πŸ“¦ 36 Β· πŸ“‹ 77 - 18% open Β· ⏱️ 13.11.2024): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.4K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.6K / month Β· πŸ“¦ 13 Β· ⏱️ 15.08.2024): ``` pip install hyperactive ``` @@ -4776,21 +4788,21 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 2K / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 1.6K / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
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FEDOT (πŸ₯‰21 Β· ⭐ 650) - Automated modeling and machine learning framework FEDOT. BSD-3 +
featurewiz (πŸ₯‰21 Β· ⭐ 600 Β· πŸ’€) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 88 Β· πŸ“¦ 55 Β· πŸ“‹ 550 - 10% open Β· ⏱️ 15.11.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 91 Β· πŸ“¦ 79 Β· πŸ“‹ 100 - 8% open Β· ⏱️ 02.05.2024): ``` - git clone https://github.com/nccr-itmo/FEDOT + git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“¦ 5 Β· ⏱️ 28.08.2024): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 56K / month Β· πŸ“¦ 2 Β· ⏱️ 10.02.2024): ``` - pip install fedot + pip install featurewiz ```
Auto ViML (πŸ₯‰21 Β· ⭐ 530 Β· πŸ’€) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 @@ -4800,7 +4812,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 10K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 9.2K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): ``` pip install autoviml ``` @@ -4812,69 +4824,57 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 890 / month Β· ⏱️ 18.08.2024): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 710 / month Β· ⏱️ 18.08.2024): ``` pip install opytimizer ```
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featurewiz (πŸ₯‰17 Β· ⭐ 590 Β· πŸ’€) - Use advanced feature engineering strategies and select best.. Apache-2 - -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 90 Β· πŸ“¦ 79 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 02.05.2024): - - ``` - git clone https://github.com/AutoViML/featurewiz - ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“¦ 2 Β· ⏱️ 10.02.2024): - ``` - pip install featurewiz - ``` -
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shap-hypetune (πŸ₯‰15 Β· ⭐ 570 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT +
shap-hypetune (πŸ₯‰18 Β· ⭐ 570 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT - [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 69 Β· πŸ“¦ 20 Β· πŸ“‹ 36 - 11% open Β· ⏱️ 21.02.2024): ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` pip install shap-hypetune ```
Show 32 hidden projects... -- scikit-optimize (πŸ₯ˆ32 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 +- scikit-optimize (πŸ₯‡32 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 +- NNI (πŸ₯ˆ31 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +- TPOT (πŸ₯ˆ31 Β· ⭐ 9.8K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 - auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7.7K Β· πŸ’€) - Automated Machine Learning with scikit-learn. BSD-3 -- TPOT (πŸ₯ˆ30 Β· ⭐ 9.8K Β· πŸ’€) - A Python Automated Machine Learning tool that optimizes.. ❗️LGPL-3.0 -- NNI (πŸ₯ˆ27 Β· ⭐ 14K Β· πŸ’€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +- Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT +- SMAC3 (πŸ₯ˆ27 Β· ⭐ 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause +- GPyOpt (πŸ₯ˆ26 Β· ⭐ 930 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 +- AdaNet (πŸ₯ˆ24 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - auto_ml (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT -- SMAC3 (πŸ₯ˆ24 Β· ⭐ 1.1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - lightwood (πŸ₯ˆ24 Β· ⭐ 450) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 -- Hyperas (πŸ₯‰23 Β· ⭐ 2.2K Β· πŸ’€) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - Orion (πŸ₯‰23 Β· ⭐ 290 Β· πŸ’€) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- AdaNet (πŸ₯‰22 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- GPyOpt (πŸ₯‰22 Β· ⭐ 930 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - HpBandSter (πŸ₯‰22 Β· ⭐ 610 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - MLBox (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - sklearn-deap (πŸ₯‰21 Β· ⭐ 770 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT +- Test Tube (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - Neuraxle (πŸ₯‰21 Β· ⭐ 610 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - optunity (πŸ₯‰21 Β· ⭐ 420 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +- igel (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - Dragonfly (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰19 Β· ⭐ 530 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT +- Sherpa (πŸ₯‰19 Β· ⭐ 330 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (πŸ₯‰18 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 -- igel (πŸ₯‰17 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - HyperparameterHunter (πŸ₯‰17 Β· ⭐ 710 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT -- Sherpa (πŸ₯‰17 Β· ⭐ 330 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - automl-gs (πŸ₯‰16 Β· ⭐ 1.9K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT -- Test Tube (πŸ₯‰16 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT +- Parfit (πŸ₯‰15 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰13 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 -- Parfit (πŸ₯‰13 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - Hypermax (πŸ₯‰13 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT -- Hypertunity (πŸ₯‰9 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2 +- Hypertunity (πŸ₯‰10 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -4891,23 +4891,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.6K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.4K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ```
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ViZDoom (πŸ₯‡29 Β· ⭐ 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT - -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 390 Β· πŸ“₯ 12K Β· πŸ“¦ 280 Β· πŸ“‹ 460 - 6% open Β· ⏱️ 08.09.2024): - - ``` - git clone https://github.com/mwydmuch/ViZDoom - ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 4.5K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): - ``` - pip install vizdoom - ``` -
Dopamine (πŸ₯ˆ28 Β· ⭐ 11K) - Dopamine is a research framework for fast prototyping of.. Apache-2 - [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 21 Β· πŸ“‹ 190 - 54% open Β· ⏱️ 04.11.2024): @@ -4915,102 +4903,114 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 28K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 26K / month Β· πŸ“¦ 10 Β· ⏱️ 31.10.2024): ``` pip install dopamine-rl ```
TF-Agents (πŸ₯ˆ28 Β· ⭐ 2.8K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 670 - 29% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 670 - 29% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 49K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 40K / month Β· πŸ“¦ 14 Β· ⏱️ 14.12.2023): ``` pip install tf-agents ```
+
ViZDoom (πŸ₯ˆ28 Β· ⭐ 1.8K) - Reinforcement Learning environments based on the 1993 game Doom. MIT + +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 390 Β· πŸ“₯ 12K Β· πŸ“¦ 280 Β· πŸ“‹ 460 - 6% open Β· ⏱️ 08.09.2024): + + ``` + git clone https://github.com/mwydmuch/ViZDoom + ``` +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 5.6K / month Β· πŸ“¦ 15 Β· ⏱️ 20.08.2024): + ``` + pip install vizdoom + ``` +
Acme (πŸ₯ˆ27 Β· ⭐ 3.5K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 420 Β· πŸ“¦ 220 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 30.10.2024): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 430 Β· πŸ“¦ 220 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 30.10.2024): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 11K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ```
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TensorForce (πŸ₯‰24 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
TensorForce (πŸ₯ˆ27 Β· ⭐ 3.3K) - Tensorforce: a TensorFlow library for applied.. Apache-2 - [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 530 Β· πŸ“¦ 460 Β· πŸ“‹ 680 - 6% open Β· ⏱️ 31.07.2024): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“¦ 4 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 1.1K / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
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PARL (πŸ₯‰22 Β· ⭐ 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
PARL (πŸ₯‰25 Β· ⭐ 3.3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 810 Β· πŸ“¦ 130 Β· πŸ“‹ 540 - 24% open Β· ⏱️ 09.07.2024): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ```
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ReAgent (πŸ₯‰21 Β· ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 +
RLax (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 87 Β· πŸ“¦ 280 Β· πŸ“‹ 26 - 30% open Β· ⏱️ 24.05.2024): ``` - git clone https://github.com/facebookresearch/ReAgent + git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/reagent) (⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 22K / month Β· πŸ“¦ 11 Β· ⏱️ 09.01.2023): ``` - pip install reagent + pip install rlax ```
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RLax (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - A library of reinforcement learning building blocks in JAX. Apache-2 +
ReAgent (πŸ₯‰22 Β· ⭐ 3.6K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 87 Β· πŸ“¦ 280 Β· πŸ“‹ 26 - 30% open Β· ⏱️ 24.05.2024): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 510 Β· πŸ“‹ 160 - 53% open Β· ⏱️ 26.11.2024): ``` - git clone https://github.com/deepmind/rlax + git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“¦ 11 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 47 / month Β· ⏱️ 27.05.2020): ``` - pip install rlax + pip install reagent ```
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PFRL (πŸ₯‰20 Β· ⭐ 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT +
PFRL (πŸ₯‰22 Β· ⭐ 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT - [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 120 Β· πŸ“‹ 79 - 41% open Β· ⏱️ 04.08.2024): ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“¦ 1 Β· ⏱️ 16.07.2023): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 620 / month Β· πŸ“¦ 1 Β· ⏱️ 16.07.2023): ``` pip install pfrl ```
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rliable (πŸ₯‰13 Β· ⭐ 780) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 +
rliable (πŸ₯‰13 Β· ⭐ 790) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 48 Β· πŸ“¦ 160 Β· πŸ“‹ 19 - 15% open Β· ⏱️ 12.08.2024): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 48 Β· πŸ“¦ 170 Β· πŸ“‹ 19 - 15% open Β· ⏱️ 12.08.2024): ``` git clone https://github.com/google-research/rliable @@ -5023,17 +5023,17 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 12 hidden projects... - OpenAI Gym (πŸ₯‡40 Β· ⭐ 35K Β· πŸ’€) - A toolkit for developing and comparing reinforcement learning.. MIT -- keras-rl (πŸ₯ˆ27 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT -- baselines (πŸ₯ˆ26 Β· ⭐ 16K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT -- TensorLayer (πŸ₯ˆ25 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 -- garage (πŸ₯ˆ25 Β· ⭐ 1.9K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT +- baselines (πŸ₯‡29 Β· ⭐ 16K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT +- keras-rl (πŸ₯ˆ28 Β· ⭐ 5.5K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT +- TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.3K Β· πŸ’€) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +- garage (πŸ₯‰25 Β· ⭐ 1.9K Β· πŸ’€) - A toolkit for reproducible reinforcement learning research. MIT - Stable Baselines (πŸ₯‰24 Β· ⭐ 4.2K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 -- Coach (πŸ₯‰19 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 +- Coach (πŸ₯‰20 Β· ⭐ 2.3K Β· πŸ’€) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 +- SerpentAI (πŸ₯‰19 Β· ⭐ 6.8K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT - DeepMind Lab (πŸ₯‰17 Β· ⭐ 7.1K Β· πŸ’€) - A customisable 3D platform for agent-based AI research. ❗Unlicensed -- SerpentAI (πŸ₯‰17 Β· ⭐ 6.8K Β· πŸ’€) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT -- Maze (πŸ₯‰13 Β· ⭐ 260 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom +- Maze (πŸ₯‰13 Β· ⭐ 270 Β· πŸ’€) - Maze Applied Reinforcement Learning Framework. ❗️Custom

@@ -5043,38 +5043,38 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
torchrec (πŸ₯‡31 Β· ⭐ 2K) - Pytorch domain library for recommendation systems. BSD-3 +
Recommenders (πŸ₯‡33 Β· ⭐ 19K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 440 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 72% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“₯ 630 Β· πŸ“¦ 140 Β· πŸ“‹ 870 - 18% open Β· ⏱️ 15.11.2024): ``` - git clone https://github.com/pytorch/torchrec + git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 37K / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 25K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): ``` - pip install torchrec-nightly-cpu + pip install recommenders ```
-
Recommenders (πŸ₯‡29 Β· ⭐ 19K) - Best Practices on Recommendation Systems. MIT +
torchrec (πŸ₯‡31 Β· ⭐ 2K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“₯ 620 Β· πŸ“¦ 140 Β· πŸ“‹ 870 - 18% open Β· ⏱️ 15.11.2024): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 440 Β· πŸ“¦ 160 Β· πŸ“‹ 440 - 72% open Β· ⏱️ 11.12.2024): ``` - git clone https://github.com/microsoft/recommenders + git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“¦ 4 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 33K / month Β· ⏱️ 12.05.2022): ``` - pip install recommenders + pip install torchrec-nightly-cpu ```
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scikit-surprise (πŸ₯ˆ26 Β· ⭐ 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3 +
scikit-surprise (πŸ₯ˆ27 Β· ⭐ 6.4K) - A Python scikit for building and analyzing recommender.. BSD-3 - [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 21% open Β· ⏱️ 14.06.2024): ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“¦ 37 Β· ⏱️ 19.05.2024): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 100K / month Β· πŸ“¦ 37 Β· ⏱️ 19.05.2024): ``` pip install scikit-surprise ``` @@ -5083,74 +5083,74 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge scikit-surprise ```
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Cornac (πŸ₯ˆ25 Β· ⭐ 890) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
TF Ranking (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 140 Β· πŸ“¦ 250 Β· πŸ“‹ 160 - 14% open Β· ⏱️ 14.09.2024): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 480 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): ``` - git clone https://github.com/PreferredAI/cornac - ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 48K / month Β· πŸ“¦ 18 Β· ⏱️ 15.08.2024): - ``` - pip install cornac + git clone https://github.com/tensorflow/ranking ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 620K Β· ⏱️ 13.09.2024): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 90K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): ``` - conda install -c conda-forge cornac + pip install tensorflow_ranking ```
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RecBole (πŸ₯‰21 Β· ⭐ 3.5K) - A unified, comprehensive and efficient recommendation library. MIT +
TF Recommenders (πŸ₯ˆ25 Β· ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 610 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 05.09.2024): +- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 280 Β· πŸ“‹ 450 - 59% open Β· ⏱️ 05.12.2024): ``` - git clone https://github.com/RUCAIBox/RecBole - ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“¦ 2 Β· ⏱️ 31.10.2023): - ``` - pip install recbole + git clone https://github.com/tensorflow/recommenders ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 6.8K Β· ⏱️ 01.11.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 320K / month Β· πŸ“¦ 2 Β· ⏱️ 03.02.2023): ``` - conda install -c aibox recbole + pip install tensorflow-recommenders ```
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TF Ranking (πŸ₯‰21 Β· ⭐ 2.7K Β· πŸ’€) - Learning to Rank in TensorFlow. Apache-2 +
Cornac (πŸ₯ˆ25 Β· ⭐ 900) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 480 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 140 Β· πŸ“¦ 250 Β· πŸ“‹ 160 - 14% open Β· ⏱️ 14.09.2024): ``` - git clone https://github.com/tensorflow/ranking + git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“¦ 15 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 47K / month Β· πŸ“¦ 18 Β· ⏱️ 15.08.2024): ``` - pip install tensorflow_ranking + pip install cornac + ``` +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 620K Β· ⏱️ 13.09.2024): + ``` + conda install -c conda-forge cornac ```
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TF Recommenders (πŸ₯‰20 Β· ⭐ 1.9K) - TensorFlow Recommenders is a library for building.. Apache-2 +
RecBole (πŸ₯‰24 Β· ⭐ 3.5K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 280 Β· πŸ“‹ 450 - 59% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 610 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 05.09.2024): ``` - git clone https://github.com/tensorflow/recommenders + git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“¦ 2 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 54K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` - pip install tensorflow-recommenders + pip install recbole + ``` +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 6.8K Β· ⏱️ 01.11.2023): + ``` + conda install -c aibox recbole ```
Show 10 hidden projects... -- implicit (πŸ₯‡29 Β· ⭐ 3.6K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- lightfm (πŸ₯ˆ26 Β· ⭐ 4.8K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 +- implicit (πŸ₯ˆ29 Β· ⭐ 3.6K Β· πŸ’€) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT +- lightfm (πŸ₯ˆ28 Β· ⭐ 4.8K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (πŸ₯ˆ25 Β· ⭐ 270) - Python recommendation toolkit. MIT +- fastFM (πŸ₯‰22 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 -- fastFM (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 +- recmetrics (πŸ₯‰19 Β· ⭐ 570 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT +- Case Recommender (πŸ₯‰19 Β· ⭐ 490 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - Spotlight (πŸ₯‰18 Β· ⭐ 3K Β· πŸ’€) - Deep recommender models using PyTorch. MIT -- OpenRec (πŸ₯‰17 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 - Collie (πŸ₯‰17 Β· ⭐ 110 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 -- Case Recommender (πŸ₯‰16 Β· ⭐ 490 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT -- recmetrics (πŸ₯‰15 Β· ⭐ 570 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT +- OpenRec (πŸ₯‰16 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2

@@ -5160,26 +5160,26 @@ _Libraries for building and evaluating recommendation systems._ _Libraries for encrypted and privacy-preserving machine learning using methods like federated learning & differential privacy._ -
PySyft (πŸ₯‡36 Β· ⭐ 9.5K) - Perform data science on data that remains in someone elses server. Apache-2 +
PySyft (πŸ₯‡36 Β· ⭐ 9.6K) - Perform data science on data that remains in someone elses server. Apache-2 - [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 2K Β· πŸ“₯ 2.3K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 1% open Β· ⏱️ 03.11.2024): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 18K / month Β· πŸ“¦ 4 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 03.11.2024): ``` pip install syft ```
Opacus (πŸ₯ˆ31 Β· ⭐ 1.7K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“₯ 140 Β· πŸ“¦ 920 Β· πŸ“‹ 310 - 22% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 340 Β· πŸ“₯ 140 Β· πŸ“¦ 920 Β· πŸ“‹ 320 - 22% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 160K / month Β· πŸ“¦ 36 Β· ⏱️ 03.08.2024): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 120K / month Β· πŸ“¦ 36 Β· ⏱️ 03.08.2024): ``` pip install opacus ``` @@ -5214,31 +5214,31 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
CrypTen (πŸ₯‰24 Β· ⭐ 1.6K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 270 Β· πŸ“¦ 47 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 23.11.2024): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 280 Β· πŸ“¦ 47 Β· πŸ“‹ 280 - 28% open Β· ⏱️ 23.11.2024): ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 390 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ```
-
TFEncrypted (πŸ₯‰21 Β· ⭐ 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 +
TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K) - A Framework for Encrypted Machine Learning in TensorFlow. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 210 Β· πŸ“¦ 68 Β· πŸ“‹ 440 - 32% open Β· ⏱️ 25.09.2024): ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 1.1K / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ```
Show 1 hidden projects... -- PipelineDP (πŸ₯‰18 Β· ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (πŸ₯‰20 Β· ⭐ 280) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -5250,39 +5250,71 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 19K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 800 Β· πŸ”€ 4.3K Β· πŸ“¦ 47K Β· πŸ“‹ 4.3K - 38% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 800 Β· πŸ”€ 4.3K Β· πŸ“¦ 48K Β· πŸ“‹ 4.3K - 38% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 17M / month Β· πŸ“¦ 920 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 16M / month Β· πŸ“¦ 930 Β· ⏱️ 11.12.2024): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 2.5M Β· ⏱️ 19.11.2024): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 2.5M Β· ⏱️ 12.12.2024): ``` conda install -c conda-forge mlflow ```
-
wandb client (πŸ₯‡42 Β· ⭐ 9.2K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT +
Tensorboard (πŸ₯‡43 Β· ⭐ 6.7K) - TensorFlows Visualization Toolkit. Apache-2 + +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.7K Β· πŸ“¦ 280K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 11.12.2024): + + ``` + git clone https://github.com/tensorflow/tensorboard + ``` +- [PyPi](https://pypi.org/project/tensorboard) (πŸ“₯ 27M / month Β· πŸ“¦ 2.2K Β· ⏱️ 25.09.2024): + ``` + pip install tensorboard + ``` +- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.2M Β· ⏱️ 10.12.2024): + ``` + conda install -c conda-forge tensorboard + ``` +
+
wandb client (πŸ₯‡42 Β· ⭐ 9.3K) - The AI developer platform. Use Weights & Biases to train and fine-.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 680 Β· πŸ“₯ 380 Β· πŸ“¦ 60K Β· πŸ“‹ 3.4K - 17% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 680 Β· πŸ“₯ 390 Β· πŸ“¦ 61K Β· πŸ“‹ 3.4K - 17% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 19M / month Β· πŸ“¦ 1.5K Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 18M / month Β· πŸ“¦ 1.6K Β· ⏱️ 12.12.2024): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 780K Β· ⏱️ 14.11.2024): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 790K Β· ⏱️ 11.12.2024): ``` conda install -c conda-forge wandb ```
+
DVC (πŸ₯‡41 Β· ⭐ 14K) - Data Versioning and ML Experiments. Apache-2 + +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 20K Β· πŸ“‹ 4.7K - 5% open Β· ⏱️ 10.12.2024): + + ``` + git clone https://github.com/iterative/dvc + ``` +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 560K / month Β· πŸ“¦ 130 Β· ⏱️ 01.12.2024): + ``` + pip install dvc + ``` +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 2.4M Β· ⏱️ 01.12.2024): + ``` + conda install -c conda-forge dvc + ``` +
SageMaker SDK (πŸ₯‡41 Β· ⭐ 2.1K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.5K - 21% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.1K Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.5K - 21% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk @@ -5296,179 +5328,175 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sagemaker-python-sdk ```
-
Tensorboard (πŸ₯‡40 Β· ⭐ 6.7K) - TensorFlows Visualization Toolkit. Apache-2 +
Metaflow (πŸ₯ˆ36 Β· ⭐ 8.3K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.7K Β· πŸ“¦ 280K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 770 Β· πŸ“¦ 770 Β· πŸ“‹ 760 - 44% open Β· ⏱️ 10.12.2024): ``` - git clone https://github.com/tensorflow/tensorboard + git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/tensorboard) (πŸ“¦ 2.2K Β· ⏱️ 25.09.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 1.4M / month Β· πŸ“¦ 47 Β· ⏱️ 10.12.2024): ``` - pip install tensorboard + pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 5.2M Β· ⏱️ 27.09.2024): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 230K Β· ⏱️ 05.12.2024): ``` - conda install -c conda-forge tensorboard + conda install -c conda-forge metaflow ```
-
DVC (πŸ₯ˆ39 Β· ⭐ 14K) - Data Versioning and ML Experiments. Apache-2 +
PyCaret (πŸ₯ˆ35 Β· ⭐ 9K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.2K Β· πŸ“¦ 19K Β· πŸ“‹ 4.7K - 5% open Β· ⏱️ 01.12.2024): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 720 Β· πŸ“¦ 6.8K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 30.08.2024): ``` - git clone https://github.com/iterative/dvc + git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“¦ 130 Β· ⏱️ 01.12.2024): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 400K / month Β· πŸ“¦ 31 Β· ⏱️ 28.04.2024): ``` - pip install dvc + pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 2.4M Β· ⏱️ 01.12.2024): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 60K Β· ⏱️ 25.04.2024): ``` - conda install -c conda-forge dvc + conda install -c conda-forge pycaret ```
snakemake (πŸ₯ˆ34 Β· ⭐ 2.3K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 560 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.9K - 61% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 560 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.9K - 61% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 120K / month Β· πŸ“¦ 250 Β· ⏱️ 29.11.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 110K / month Β· πŸ“¦ 250 Β· ⏱️ 29.11.2024): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.2M Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.3M Β· ⏱️ 02.12.2024): ``` conda install -c bioconda snakemake ```
-
PyCaret (πŸ₯ˆ33 Β· ⭐ 9K) - An open-source, low-code machine learning library in Python. MIT +
tensorboardX (πŸ₯ˆ33 Β· ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.8K Β· πŸ“₯ 720 Β· πŸ“¦ 6.8K Β· πŸ“‹ 2.3K - 16% open Β· ⏱️ 30.08.2024): +- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 450 Β· πŸ“¦ 51K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 16.11.2024): ``` - git clone https://github.com/pycaret/pycaret + git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“¦ 31 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“₯ 4M / month Β· πŸ“¦ 620 Β· ⏱️ 20.08.2023): ``` - pip install pycaret + pip install tensorboardX ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 59K Β· ⏱️ 25.04.2024): +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.2M Β· ⏱️ 20.08.2023): ``` - conda install -c conda-forge pycaret + conda install -c conda-forge tensorboardx ```
-
Metaflow (πŸ₯ˆ33 Β· ⭐ 8.3K) - Open Source Platform for developing, scaling and deploying serious.. Apache-2 +
kaggle (πŸ₯ˆ33 Β· ⭐ 6.3K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 770 Β· πŸ“¦ 760 Β· πŸ“‹ 760 - 44% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 490 - 30% open Β· ⏱️ 12.11.2024): ``` - git clone https://github.com/Netflix/metaflow + git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“¦ 47 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 250K / month Β· πŸ“¦ 210 Β· ⏱️ 24.07.2024): ``` - pip install metaflow + pip install kaggle ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 230K Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 200K Β· ⏱️ 27.07.2024): ``` - conda install -c conda-forge metaflow + conda install -c conda-forge kaggle ```
-
kaggle (πŸ₯ˆ33 Β· ⭐ 6.3K) - Official Kaggle API. Apache-2 +
ClearML (πŸ₯ˆ33 Β· ⭐ 5.7K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.1K Β· πŸ“¦ 21 Β· πŸ“‹ 490 - 30% open Β· ⏱️ 12.11.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 660 Β· πŸ“₯ 3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/Kaggle/kaggle-api + git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 260K / month Β· πŸ“¦ 210 Β· ⏱️ 24.07.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 320K / month Β· πŸ“¦ 51 Β· ⏱️ 07.12.2024): ``` - pip install kaggle + pip install clearml ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 200K Β· ⏱️ 27.07.2024): +- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 30K Β· ⏱️ 05.10.2020): ``` - conda install -c conda-forge kaggle + docker pull allegroai/trains ```
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aim (πŸ₯ˆ32 Β· ⭐ 5.2K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 +
aim (πŸ₯ˆ32 Β· ⭐ 5.3K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 320 Β· πŸ“¦ 750 Β· πŸ“‹ 1K - 36% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 320 Β· πŸ“¦ 750 Β· πŸ“‹ 1K - 36% open Β· ⏱️ 06.12.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 270K / month Β· πŸ“¦ 40 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 220K / month Β· πŸ“¦ 40 Β· ⏱️ 11.12.2024): ``` pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 88K Β· ⏱️ 14.06.2024): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 89K Β· ⏱️ 14.06.2024): ``` conda install -c conda-forge aim ```
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AzureML SDK (πŸ₯ˆ32 Β· ⭐ 4.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT +
sacred (πŸ₯ˆ32 Β· ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 660 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 04.11.2024): +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 380 Β· πŸ“¦ 3.3K Β· πŸ“‹ 560 - 18% open Β· ⏱️ 26.11.2024): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 340K / month Β· πŸ“¦ 31 Β· ⏱️ 16.10.2024): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 360K / month Β· πŸ“¦ 60 Β· ⏱️ 26.11.2024): ``` - pip install azureml-sdk + pip install sacred + ``` +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 7.3K Β· ⏱️ 28.11.2023): + ``` + conda install -c conda-forge sacred ```
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tensorboardX (πŸ₯ˆ30 Β· ⭐ 7.9K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
AzureML SDK (πŸ₯ˆ32 Β· ⭐ 4.1K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 450 Β· πŸ“¦ 51K Β· πŸ“‹ 460 - 17% open Β· ⏱️ 16.11.2024): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 660 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 04.11.2024): ``` - git clone https://github.com/lanpa/tensorboardX - ``` -- [PyPi](https://pypi.org/project/tensorboardX) (πŸ“¦ 620 Β· ⏱️ 20.08.2023): - ``` - pip install tensorboardX + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (πŸ“₯ 1.2M Β· ⏱️ 20.08.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 330K / month Β· πŸ“¦ 31 Β· ⏱️ 10.12.2024): ``` - conda install -c conda-forge tensorboardx + pip install azureml-sdk ```
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ClearML (πŸ₯ˆ30 Β· ⭐ 5.7K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 +
VisualDL (πŸ₯ˆ30 Β· ⭐ 4.8K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 660 Β· πŸ“₯ 3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.1K - 46% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 630 Β· πŸ“₯ 480 Β· πŸ“¦ 2 Β· πŸ“‹ 500 - 28% open Β· ⏱️ 11.12.2024): ``` - git clone https://github.com/allegroai/clearml - ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“¦ 44 Β· ⏱️ 27.10.2024): - ``` - pip install clearml + git clone https://github.com/PaddlePaddle/VisualDL ``` -- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 30K Β· ⏱️ 05.10.2020): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 260K / month Β· πŸ“¦ 82 Β· ⏱️ 30.10.2024): ``` - docker pull allegroai/trains + pip install visualdl ```
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sacred (πŸ₯ˆ29 Β· ⭐ 4.3K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT +
Neptune.ai (πŸ₯ˆ29 Β· ⭐ 590) - The experiment tracker for foundation model training. Apache-2 -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 380 Β· πŸ“¦ 3.3K Β· πŸ“‹ 560 - 18% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 64 Β· πŸ“¦ 690 Β· πŸ“‹ 240 - 10% open Β· ⏱️ 04.11.2024): ``` - git clone https://github.com/IDSIA/sacred + git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“¦ 60 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 77 Β· ⏱️ 31.10.2024): ``` - pip install sacred + pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 7.2K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 300K Β· ⏱️ 31.10.2024): ``` - conda install -c conda-forge sacred + conda install -c conda-forge neptune-client ```
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Labml (πŸ₯ˆ28 Β· ⭐ 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
Labml (πŸ₯‰28 Β· ⭐ 2.1K) - Monitor deep learning model training and hardware usage from your mobile.. MIT - [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 190 Β· πŸ“‹ 48 - 10% open Β· ⏱️ 16.11.2024): @@ -5480,14 +5508,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install labml ```
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ml-metadata (πŸ₯ˆ28 Β· ⭐ 630) - For recording and retrieving metadata associated with ML.. Apache-2 +
ml-metadata (πŸ₯‰28 Β· ⭐ 630) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“₯ 2.8K Β· πŸ“¦ 590 Β· πŸ“‹ 120 - 38% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“₯ 2.8K Β· πŸ“¦ 600 Β· πŸ“‹ 120 - 38% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 88K / month Β· πŸ“¦ 31 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 91K / month Β· πŸ“¦ 31 Β· ⏱️ 01.10.2024): ``` pip install ml-metadata ``` @@ -5499,71 +5527,43 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.8K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.4K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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Neptune.ai (πŸ₯‰26 Β· ⭐ 590) - The experiment tracker for foundation model training. Apache-2 - -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 63 Β· πŸ“¦ 680 Β· πŸ“‹ 240 - 10% open Β· ⏱️ 04.11.2024): - - ``` - git clone https://github.com/neptune-ai/neptune-client - ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“¦ 77 Β· ⏱️ 31.10.2024): - ``` - pip install neptune-client - ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 300K Β· ⏱️ 31.10.2024): - ``` - conda install -c conda-forge neptune-client - ``` -
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VisualDL (πŸ₯‰25 Β· ⭐ 4.8K) - Deep Learning Visualization Toolkit. Apache-2 +
quinn (πŸ₯‰26 Β· ⭐ 650 Β· πŸ“ˆ) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 630 Β· πŸ“₯ 470 Β· πŸ“¦ 2 Β· πŸ“‹ 500 - 28% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 98 Β· πŸ“₯ 51 Β· πŸ“¦ 89 Β· πŸ“‹ 140 - 26% open Β· ⏱️ 06.12.2024): ``` - git clone https://github.com/PaddlePaddle/VisualDL + git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“¦ 82 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 700K / month Β· πŸ“¦ 7 Β· ⏱️ 13.02.2024): ``` - pip install visualdl + pip install quinn ```
gokart (πŸ₯‰25 Β· ⭐ 320) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT -- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 57 Β· πŸ“¦ 84 Β· πŸ“‹ 85 - 25% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 58 Β· πŸ“¦ 84 Β· πŸ“‹ 85 - 25% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/m3dev/gokart ``` -- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.7K / month Β· πŸ“¦ 8 Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 4.9K / month Β· πŸ“¦ 8 Β· ⏱️ 02.12.2024): ``` pip install gokart ```
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quinn (πŸ₯‰19 Β· ⭐ 650 Β· πŸ“‰) - pyspark methods to enhance developer productivity. Apache-2 - -- [GitHub](https://github.com/mrpowers-io/quinn) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 98 Β· πŸ“₯ 45 Β· πŸ“¦ 88 Β· πŸ“‹ 140 - 26% open Β· ⏱️ 12.10.2024): - - ``` - git clone https://github.com/MrPowers/quinn - ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“¦ 7 Β· ⏱️ 13.02.2024): - ``` - pip install quinn - ``` -
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keepsake (πŸ₯‰16 Β· ⭐ 1.6K) - Version control for machine learning. Apache-2 +
keepsake (πŸ₯‰18 Β· ⭐ 1.6K) - Version control for machine learning. Apache-2 - [GitHub](https://github.com/replicate/keepsake) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 71 Β· πŸ“‹ 190 - 66% open Β· ⏱️ 03.12.2024): ``` git clone https://github.com/replicate/keepsake ``` -- [PyPi](https://pypi.org/project/keepsake) (πŸ“¦ 1 Β· ⏱️ 25.01.2021): +- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 220 / month Β· πŸ“¦ 1 Β· ⏱️ 25.01.2021): ``` pip install keepsake ``` @@ -5575,7 +5575,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 670 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 610 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -5587,7 +5587,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 550K / month Β· πŸ“¦ 81 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 510K / month Β· πŸ“¦ 81 Β· ⏱️ 28.11.2024): ``` pip install comet_ml ``` @@ -5598,20 +5598,20 @@ _Libraries to organize, track, and visualize machine learning experiments._
Show 16 hidden projects... -- Catalyst (πŸ₯ˆ28 Β· ⭐ 3.3K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 -- SKLL (πŸ₯‰25 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause -- knockknock (πŸ₯‰23 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT +- Catalyst (πŸ₯‰28 Β· ⭐ 3.3K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 +- knockknock (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT +- livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +- SKLL (πŸ₯‰24 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - Guild AI (πŸ₯‰23 Β· ⭐ 870 Β· πŸ’€) - Experiment tracking, ML developer tools. Apache-2 - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - Studio.ml (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 -- livelossplot (πŸ₯‰21 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +- lore (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - TensorWatch (πŸ₯‰20 Β· ⭐ 3.4K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT -- lore (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT +- MXBoard (πŸ₯‰20 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT -- MXBoard (πŸ₯‰17 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 +- chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (πŸ₯‰17 Β· ⭐ 130 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT -- chitra (πŸ₯‰15 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2
@@ -5625,12 +5625,12 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 18K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.7K Β· πŸ“₯ 22K Β· πŸ“¦ 37K Β· πŸ“‹ 2.9K - 11% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 3.7K Β· πŸ“₯ 22K Β· πŸ“¦ 37K Β· πŸ“‹ 2.9K - 12% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 6.5M / month Β· πŸ“¦ 1.1K Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 6.6M / month Β· πŸ“¦ 1.1K Β· ⏱️ 01.10.2024): ``` pip install onnx ``` @@ -5641,7 +5641,7 @@ _Libraries to serialize models to files, convert between a variety of model form
triton (πŸ₯‡43 Β· ⭐ 14K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.7K Β· πŸ“¦ 45K Β· πŸ“‹ 1.5K - 43% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.7K Β· πŸ“¦ 46K Β· πŸ“‹ 1.5K - 43% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/openai/triton @@ -5651,6 +5651,22 @@ _Libraries to serialize models to files, convert between a variety of model form pip install triton ```
+
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 2.2K) - The official Python client for the Huggingface Hub. Apache-2 + +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 570 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 11.12.2024): + + ``` + git clone https://github.com/huggingface/huggingface_hub + ``` +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 52M / month Β· πŸ“¦ 2.2K Β· ⏱️ 06.12.2024): + ``` + pip install huggingface_hub + ``` +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 2.4M Β· ⏱️ 10.12.2024): + ``` + conda install -c conda-forge huggingface_hub + ``` +
Core ML Tools (πŸ₯ˆ36 Β· ⭐ 4.5K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 - [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 12K Β· πŸ“¦ 4.3K Β· πŸ“‹ 1.5K - 24% open Β· ⏱️ 02.12.2024): @@ -5658,39 +5674,39 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 1.2M / month Β· πŸ“¦ 87 Β· ⏱️ 20.11.2024): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 910K / month Β· πŸ“¦ 87 Β· ⏱️ 20.11.2024): ``` pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 76K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 77K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge coremltools ```
BentoML (πŸ₯ˆ35 Β· ⭐ 7.2K) - The easiest way to serve AI apps and models - Build Model Inference.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 790 Β· πŸ“₯ 880 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 800 Β· πŸ“₯ 820 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 120K / month Β· πŸ“¦ 31 Β· ⏱️ 02.12.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 130K / month Β· πŸ“¦ 31 Β· ⏱️ 12.12.2024): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ34 Β· ⭐ 4.3K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 860 Β· πŸ“₯ 7.2K Β· πŸ“¦ 770 Β· πŸ“‹ 1.7K - 24% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 870 Β· πŸ“₯ 7.3K Β· πŸ“¦ 770 Β· πŸ“‹ 1.7K - 25% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 65K / month Β· πŸ“¦ 22 Β· ⏱️ 30.09.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 62K / month Β· πŸ“¦ 22 Β· ⏱️ 30.09.2024): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 380K Β· ⏱️ 30.09.2024): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 390K Β· ⏱️ 30.09.2024): ``` conda install -c pytorch torchserve ``` @@ -5699,25 +5715,25 @@ _Libraries to serialize models to files, convert between a variety of model form docker pull pytorch/torchserve ```
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huggingface_hub (πŸ₯ˆ34 Β· ⭐ 2.2K) - The official Python client for the Huggingface Hub. Apache-2 +
hls4ml (πŸ₯ˆ27 Β· ⭐ 1.3K) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 560 Β· πŸ“‹ 1K - 15% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 420 Β· πŸ“‹ 460 - 41% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/huggingface/huggingface_hub + git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“¦ 2.1K Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 09.12.2024): ``` - pip install huggingface_hub + pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 2.4M Β· ⏱️ 02.12.2024): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 9.3K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge huggingface_hub + conda install -c conda-forge hls4ml ```
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.4K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 740 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“₯ 750 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 24.10.2024): ``` git clone https://github.com/microsoft/hummingbird @@ -5731,30 +5747,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge hummingbird-ml ```
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hls4ml (πŸ₯ˆ26 Β· ⭐ 1.3K) - Machine learning on FPGAs using HLS. Apache-2 - -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 390 Β· πŸ“‹ 440 - 39% open Β· ⏱️ 05.12.2024): - - ``` - git clone https://github.com/fastmachinelearning/hls4ml - ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1.1K / month Β· ⏱️ 19.12.2023): - ``` - pip install hls4ml - ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 9.2K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge hls4ml - ``` -
nebullvm (πŸ₯‰21 Β· ⭐ 8.4K) - A collection of libraries to optimise AI model performances. Apache-2 -- [GitHub](https://github.com/nebuly-ai/optimate) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 640 Β· πŸ“‹ 200 - 49% open Β· ⏱️ 22.07.2024): +- [GitHub](https://github.com/nebuly-ai/optimate) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 630 Β· πŸ“‹ 200 - 49% open Β· ⏱️ 22.07.2024): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 800 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -5766,23 +5766,23 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 320 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 250 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ```
Show 10 hidden projects... +- mmdnn (πŸ₯‰25 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT - m2cgen (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT -- mmdnn (πŸ₯‰24 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +- cortex (πŸ₯‰23 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 -- cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - OMLT (πŸ₯‰20 Β· ⭐ 290) - Represent trained machine learning models as Pyomo optimization.. ❗Unlicensed +- Larq Compute Engine (πŸ₯‰20 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 860 Β· πŸ’€) - PyTorch to Keras model convertor. MIT -- Larq Compute Engine (πŸ₯‰18 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 -- backprop (πŸ₯‰15 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 -- modelkit (πŸ₯‰13 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT -- ml-ane-transformers (πŸ₯‰10 Β· ⭐ 2.6K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed +- modelkit (πŸ₯‰17 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT +- backprop (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 +- ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.6K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed

@@ -5792,42 +5792,42 @@ _Libraries to serialize models to files, convert between a variety of model form _Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._ -
shap (πŸ₯‡39 Β· ⭐ 23K) - A game theoretic approach to explain the output of any machine learning model. MIT +
shap (πŸ₯‡41 Β· ⭐ 23K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.3K Β· πŸ“¦ 23K Β· πŸ“‹ 2.6K - 28% open Β· ⏱️ 20.11.2024): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.3K Β· πŸ“¦ 23K Β· πŸ“‹ 2.6K - 28% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“¦ 750 Β· ⏱️ 27.06.2024): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.1M / month Β· πŸ“¦ 750 Β· ⏱️ 27.06.2024): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 4.5M Β· ⏱️ 20.11.2024): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 4.5M Β· ⏱️ 10.12.2024): ``` conda install -c conda-forge shap ```
Netron (πŸ₯‡37 Β· ⭐ 29K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.8K Β· πŸ“₯ 83K Β· πŸ“¦ 600 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.8K Β· πŸ“₯ 84K Β· πŸ“¦ 610 Β· πŸ“‹ 1.2K - 1% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 31K / month Β· πŸ“¦ 83 Β· ⏱️ 29.11.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 33K / month Β· πŸ“¦ 83 Β· ⏱️ 07.12.2024): ``` pip install netron ```
-
arviz (πŸ₯‡34 Β· ⭐ 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2 +
arviz (πŸ₯‡35 Β· ⭐ 1.6K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 410 Β· πŸ“₯ 170 Β· πŸ“¦ 8.4K Β· πŸ“‹ 870 - 20% open Β· ⏱️ 19.11.2024): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 410 Β· πŸ“₯ 180 Β· πŸ“¦ 8.5K Β· πŸ“‹ 870 - 20% open Β· ⏱️ 19.11.2024): ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“¦ 310 Β· ⏱️ 28.09.2024): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.3M / month Β· πŸ“¦ 310 Β· ⏱️ 28.09.2024): ``` pip install arviz ``` @@ -5836,35 +5836,47 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge arviz ```
+
Captum (πŸ₯‡34 Β· ⭐ 5K) - Model interpretability and understanding for PyTorch. BSD-3 + +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 2.6K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 12.12.2024): + + ``` + git clone https://github.com/pytorch/captum + ``` +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 290K / month Β· πŸ“¦ 130 Β· ⏱️ 05.12.2023): + ``` + pip install captum + ``` +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 100K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge captum + ``` +
InterpretML (πŸ₯‡33 Β· ⭐ 6.3K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 730 Β· πŸ“¦ 800 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“¦ 800 Β· πŸ“‹ 460 - 23% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 130K / month Β· πŸ“¦ 50 Β· ⏱️ 28.11.2024): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 130K / month Β· πŸ“¦ 50 Β· ⏱️ 10.12.2024): ``` pip install interpret ```
-
Captum (πŸ₯‡32 Β· ⭐ 5K) - Model interpretability and understanding for PyTorch. BSD-3 +
shapash (πŸ₯ˆ31 Β· ⭐ 2.7K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 2.6K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 21.11.2024): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 340 Β· πŸ“¦ 180 Β· πŸ“‹ 220 - 17% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/pytorch/captum - ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“¦ 130 Β· ⏱️ 05.12.2023): - ``` - pip install captum + git clone https://github.com/MAIF/shapash ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 97K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 32K / month Β· πŸ“¦ 4 Β· ⏱️ 09.12.2024): ``` - conda install -c conda-forge captum + pip install shapash ```
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evaluate (πŸ₯ˆ31 Β· ⭐ 2K) - Evaluate: A library for easily evaluating machine learning models and.. Apache-2 +
evaluate (πŸ₯ˆ30 Β· ⭐ 2.1K Β· πŸ“‰) - Evaluate: A library for easily evaluating machine learning.. Apache-2 - [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 260 Β· πŸ“¦ 15K Β· πŸ“‹ 360 - 60% open Β· ⏱️ 17.09.2024): @@ -5876,14 +5888,42 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin pip install evaluate ```
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DoWhy (πŸ₯ˆ30 Β· ⭐ 7.2K Β· πŸ“ˆ) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
fairlearn (πŸ₯ˆ30 Β· ⭐ 2K) - A Python package to assess and improve fairness of machine learning.. MIT + +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 420 Β· πŸ“¦ 3 Β· πŸ“‹ 490 - 32% open Β· ⏱️ 12.12.2024): + + ``` + git clone https://github.com/fairlearn/fairlearn + ``` +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 200K / month Β· πŸ“¦ 63 Β· ⏱️ 11.12.2024): + ``` + pip install fairlearn + ``` +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 39K Β· ⏱️ 04.11.2024): + ``` + conda install -c conda-forge fairlearn + ``` +
+
Model Analysis (πŸ₯ˆ30 Β· ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2 + +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 280 Β· πŸ“‹ 93 - 40% open Β· ⏱️ 27.11.2024): + + ``` + git clone https://github.com/tensorflow/model-analysis + ``` +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 270K / month Β· πŸ“¦ 19 Β· ⏱️ 05.12.2024): + ``` + pip install tensorflow-model-analysis + ``` +
+
DoWhy (πŸ₯ˆ29 Β· ⭐ 7.2K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 940 Β· πŸ“₯ 42 Β· πŸ“¦ 460 Β· πŸ“‹ 480 - 28% open Β· ⏱️ 24.11.2024): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 940 Β· πŸ“₯ 42 Β· πŸ“¦ 470 Β· πŸ“‹ 480 - 28% open Β· ⏱️ 24.11.2024): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 61K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 59K / month Β· πŸ“¦ 18 Β· ⏱️ 24.11.2024): ``` pip install dowhy ``` @@ -5892,57 +5932,57 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dowhy ```
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fairlearn (πŸ₯ˆ30 Β· ⭐ 2K) - A Python package to assess and improve fairness of machine learning.. MIT +
LIT (πŸ₯ˆ29 Β· ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 420 Β· πŸ“¦ 3 Β· πŸ“‹ 490 - 32% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“¦ 42 Β· πŸ“‹ 200 - 56% open Β· ⏱️ 22.10.2024): ``` - git clone https://github.com/fairlearn/fairlearn + git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 190K / month Β· πŸ“¦ 59 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 8.7K / month Β· πŸ“¦ 3 Β· ⏱️ 22.10.2024): ``` - pip install fairlearn + pip install lit-nlp ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 38K Β· ⏱️ 04.11.2024): +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 98K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge fairlearn + conda install -c conda-forge lit-nlp ```
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pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 +
explainerdashboard (πŸ₯ˆ29 Β· ⭐ 2.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 6.7K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 330 Β· πŸ“¦ 570 Β· πŸ“‹ 240 - 14% open Β· ⏱️ 20.06.2024): ``` - git clone https://github.com/bmabey/pyLDAvis + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 150K / month Β· πŸ“¦ 100 Β· ⏱️ 23.04.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 66K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): ``` - pip install pyldavis + pip install explainerdashboard ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 89K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 57K Β· ⏱️ 18.03.2024): ``` - conda install -c conda-forge pyldavis + conda install -c conda-forge explainerdashboard ```
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LIT (πŸ₯ˆ28 Β· ⭐ 3.5K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 +
pyLDAvis (πŸ₯ˆ29 Β· ⭐ 1.8K Β· πŸ’€) - Python library for interactive topic model visualization... BSD-3 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 360 Β· πŸ“¦ 41 Β· πŸ“‹ 200 - 57% open Β· ⏱️ 22.10.2024): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“¦ 6.7K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): ``` - git clone https://github.com/PAIR-code/lit + git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“¦ 3 Β· ⏱️ 22.10.2024): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 23.04.2023): ``` - pip install lit-nlp + pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 98K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 89K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge lit-nlp + conda install -c conda-forge pyldavis ```
dtreeviz (πŸ₯ˆ28 Β· ⭐ 3K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 330 Β· πŸ“¦ 1.4K Β· πŸ“‹ 210 - 34% open Β· ⏱️ 29.08.2024): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 1.4K Β· πŸ“‹ 210 - 34% open Β· ⏱️ 29.08.2024): ``` git clone https://github.com/parrt/dtreeviz @@ -5951,7 +5991,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 90K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 91K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ``` @@ -5963,47 +6003,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 200K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 160K / month Β· πŸ“¦ 9 Β· ⏱️ 15.10.2024): ``` pip install imodels ```
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shapash (πŸ₯ˆ27 Β· ⭐ 2.7K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 - -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 330 Β· πŸ“¦ 180 Β· πŸ“‹ 220 - 17% open Β· ⏱️ 28.10.2024): - - ``` - git clone https://github.com/MAIF/shapash - ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“¦ 4 Β· ⏱️ 25.10.2024): - ``` - pip install shapash - ``` -
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explainerdashboard (πŸ₯ˆ27 Β· ⭐ 2.3K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
responsible-ai-widgets (πŸ₯ˆ27 Β· ⭐ 1.4K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 330 Β· πŸ“¦ 570 Β· πŸ“‹ 240 - 14% open Β· ⏱️ 20.06.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 360 Β· πŸ“‹ 320 - 26% open Β· ⏱️ 07.08.2024): ``` - git clone https://github.com/oegedijk/explainerdashboard - ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“¦ 10 Β· ⏱️ 18.03.2024): - ``` - pip install explainerdashboard + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 57K Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 9.2K / month Β· πŸ“¦ 6 Β· ⏱️ 08.07.2024): ``` - conda install -c conda-forge explainerdashboard + pip install raiwidgets ```
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Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2.5K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 +
Fairness 360 (πŸ₯‰26 Β· ⭐ 2.5K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 840 Β· πŸ“¦ 530 Β· πŸ“‹ 300 - 66% open Β· ⏱️ 05.07.2024): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 840 Β· πŸ“¦ 540 Β· πŸ“‹ 300 - 66% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 31K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 34K / month Β· πŸ“¦ 32 Β· ⏱️ 08.04.2024): ``` pip install aif360 ``` @@ -6012,94 +6036,70 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge aif360 ```
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Model Analysis (πŸ₯ˆ25 Β· ⭐ 1.3K) - Model analysis tools for TensorFlow. Apache-2 +
CausalNex (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 280 Β· πŸ“‹ 93 - 40% open Β· ⏱️ 27.11.2024): +- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 260 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 10.02.2024): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“¦ 19 Β· ⏱️ 05.12.2024): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 3.2K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): ``` - pip install tensorflow-model-analysis + pip install causalnex ```
Explainability 360 (πŸ₯‰24 Β· ⭐ 1.6K) - Interpretability and explainability of data and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 100 Β· πŸ“‹ 85 - 63% open Β· ⏱️ 16.07.2024): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 110 Β· πŸ“‹ 85 - 63% open Β· ⏱️ 16.07.2024): ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): - ``` - pip install aix360 - ``` -
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responsible-ai-widgets (πŸ₯‰23 Β· ⭐ 1.4K) - Responsible AI Toolbox is a suite of tools providing.. MIT - -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 360 Β· πŸ“‹ 320 - 26% open Β· ⏱️ 07.08.2024): - - ``` - git clone https://github.com/microsoft/responsible-ai-toolbox - ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“¦ 6 Β· ⏱️ 08.07.2024): - ``` - pip install raiwidgets - ``` -
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What-If Tool (πŸ₯‰22 Β· ⭐ 930 Β· πŸ’€) - Source code/webpage/demos for the What-If Tool. Apache-2 - -- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 170 Β· πŸ“¦ 2 Β· πŸ“‹ 150 - 61% open Β· ⏱️ 01.02.2024): - - ``` - git clone https://github.com/PAIR-code/what-if-tool - ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 8.8K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` - pip install witwidget - ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (πŸ“₯ 2.3M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge tensorboard-plugin-wit - ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 540 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): - ``` - npm install wit-widget + pip install aix360 ```
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aequitas (πŸ₯‰22 Β· ⭐ 700) - Bias Auditing & Fair ML Toolkit. MIT +
aequitas (πŸ₯‰23 Β· ⭐ 700) - Bias Auditing & Fair ML Toolkit. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 99 - 51% open Β· ⏱️ 11.09.2024): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 120 Β· πŸ“¦ 180 Β· πŸ“‹ 99 - 51% open Β· ⏱️ 11.09.2024): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 27K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 28K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2024): ``` pip install aequitas ```
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CausalNex (πŸ₯‰21 Β· ⭐ 2.3K Β· πŸ’€) - A Python library that helps data scientists to infer.. Apache-2 +
What-If Tool (πŸ₯‰22 Β· ⭐ 930 Β· πŸ’€) - Source code/webpage/demos for the What-If Tool. Apache-2 -- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 260 Β· πŸ“¦ 130 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 170 Β· πŸ“¦ 2 Β· πŸ“‹ 150 - 61% open Β· ⏱️ 01.02.2024): ``` - git clone https://github.com/quantumblacklabs/causalnex + git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“¦ 4 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 8.1K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): ``` - pip install causalnex + pip install witwidget + ``` +- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (πŸ“₯ 2.3M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tensorboard-plugin-wit + ``` +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 520 / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): + ``` + npm install wit-widget ```
ecco (πŸ₯‰21 Β· ⭐ 2K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 -- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“₯ 120 Β· πŸ“¦ 31 Β· πŸ“‹ 64 - 51% open Β· ⏱️ 15.08.2024): +- [GitHub](https://github.com/jalammar/ecco) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“₯ 130 Β· πŸ“¦ 32 Β· πŸ“‹ 64 - 51% open Β· ⏱️ 15.08.2024): ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 810 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6115,11 +6115,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 39K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 37K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` pip install dice-ml ```
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random-forest-importances (πŸ₯‰21 Β· ⭐ 600) - Code to compute permutation and drop-column.. MIT + +- [GitHub](https://github.com/parrt/random-forest-importances) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 130 Β· πŸ“¦ 170 Β· πŸ“‹ 39 - 20% open Β· ⏱️ 29.09.2024): + + ``` + git clone https://github.com/parrt/random-forest-importances + ``` +- [PyPi](https://pypi.org/project/rfpimp) (πŸ“₯ 13K / month Β· πŸ“¦ 5 Β· ⏱️ 28.01.2021): + ``` + pip install rfpimp + ``` +
fairness-indicators (πŸ₯‰19 Β· ⭐ 340 Β· πŸ’€) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 79 Β· πŸ“‹ 36 - 72% open Β· ⏱️ 26.04.2024): @@ -6127,7 +6139,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2.2K / month Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 2K / month Β· ⏱️ 26.04.2024): ``` pip install fairness-indicators ``` @@ -6139,43 +6151,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.1K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ```
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random-forest-importances (πŸ₯‰17 Β· ⭐ 600) - Code to compute permutation and drop-column.. MIT - -- [GitHub](https://github.com/parrt/random-forest-importances) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 130 Β· πŸ“¦ 170 Β· πŸ“‹ 39 - 20% open Β· ⏱️ 29.09.2024): - - ``` - git clone https://github.com/parrt/random-forest-importances - ``` -- [PyPi](https://pypi.org/project/rfpimp) (πŸ“¦ 5 Β· ⏱️ 28.01.2021): - ``` - pip install rfpimp - ``` -
interpret-text (πŸ₯‰15 Β· ⭐ 420 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT -- [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 67 Β· πŸ“‹ 100 - 84% open Β· ⏱️ 05.02.2024): +- [GitHub](https://github.com/interpretml/interpret-text) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 68 Β· πŸ“‹ 100 - 84% open Β· ⏱️ 05.02.2024): ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 210 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 230 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ```
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ExplainX.ai (πŸ₯‰12 Β· ⭐ 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT +
ExplainX.ai (πŸ₯‰15 Β· ⭐ 420) - Explainable AI framework for data scientists. Explain & debug any.. MIT -- [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 52 Β· πŸ“₯ 20 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 21.08.2024): +- [GitHub](https://github.com/explainX/explainx) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 53 Β· πŸ“₯ 20 Β· πŸ“‹ 39 - 25% open Β· ⏱️ 21.08.2024): ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 1K / month Β· ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -6183,31 +6183,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Show 26 hidden projects... - Lime (πŸ₯‡33 Β· ⭐ 12K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 +- Deep Checks (πŸ₯ˆ29 Β· ⭐ 3.6K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT +- DALEX (πŸ₯ˆ28 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - yellowbrick (πŸ₯ˆ27 Β· ⭐ 4.3K Β· πŸ’€) - Visual analysis and diagnostic tools to facilitate.. Apache-2 -- Deep Checks (πŸ₯ˆ26 Β· ⭐ 3.6K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 -- eli5 (πŸ₯ˆ26 Β· ⭐ 2.8K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- DALEX (πŸ₯ˆ26 Β· ⭐ 1.4K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 -- Lucid (πŸ₯ˆ25 Β· ⭐ 4.7K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 -- keras-vis (πŸ₯ˆ25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT +- Alibi (πŸ₯ˆ27 Β· ⭐ 2.4K) - Algorithms for explaining machine learning models. ❗️Intel +- eli5 (πŸ₯‰26 Β· ⭐ 2.8K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- Lucid (πŸ₯‰25 Β· ⭐ 4.7K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 +- keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT +- iNNvestigate (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 - checklist (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- Alibi (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Algorithms for explaining machine learning models. ❗️Intel -- iNNvestigate (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 +- keract (πŸ₯‰23 Β· ⭐ 1K Β· πŸ’€) - Layers Outputs and Gradients in Keras. Made easy. MIT - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT +- Quantus (πŸ₯‰22 Β· ⭐ 570) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 - deeplift (πŸ₯‰21 Β· ⭐ 840 Β· πŸ’€) - Public facing deeplift repo. MIT -- keract (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - Layers Outputs and Gradients in Keras. Made easy. MIT -- TreeInterpreter (πŸ₯‰19 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 -- Quantus (πŸ₯‰19 Β· ⭐ 560) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 -- tcav (πŸ₯‰18 Β· ⭐ 630 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 -- XAI (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT +- TreeInterpreter (πŸ₯‰21 Β· ⭐ 740 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 +- tcav (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 +- XAI (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT +- sklearn-evaluation (πŸ₯‰18 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- model-card-toolkit (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 - Anchor (πŸ₯‰16 Β· ⭐ 800 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - FlashTorch (πŸ₯‰16 Β· ⭐ 740 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- sklearn-evaluation (πŸ₯‰15 Β· ⭐ 460 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- model-card-toolkit (πŸ₯‰14 Β· ⭐ 430 Β· πŸ’€) - A toolkit that streamlines and automates the.. Apache-2 - Attribution Priors (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT - bias-detector (πŸ₯‰13 Β· ⭐ 44 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT -- contextual-ai (πŸ₯‰11 Β· ⭐ 87 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 +- contextual-ai (πŸ₯‰12 Β· ⭐ 86 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2

@@ -6221,12 +6221,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Faiss (πŸ₯‡41 Β· ⭐ 32K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.6K Β· πŸ“¦ 4.2K Β· πŸ“‹ 2.6K - 9% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.6K Β· πŸ“¦ 4.2K Β· πŸ“‹ 2.6K - 9% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.4M / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.5M / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2024): ``` pip install pymilvus ``` @@ -6237,16 +6237,16 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡41 Β· ⭐ 31K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“₯ 290K Β· πŸ“‹ 12K - 6% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3K Β· πŸ“₯ 290K Β· πŸ“‹ 12K - 6% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.4M / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 1.5M / month Β· πŸ“¦ 190 Β· ⏱️ 26.11.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 65 Β· ⏱️ 05.12.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 67M Β· ⭐ 66 Β· ⏱️ 12.12.2024): ``` docker pull milvusdb/milvus ``` @@ -6258,11 +6258,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 920K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 870K / month Β· πŸ“¦ 200 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 580K Β· ⏱️ 05.09.2024): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 590K Β· ⏱️ 05.09.2024): ``` conda install -c conda-forge python-annoy ``` @@ -6274,7 +6274,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 820K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 770K / month Β· πŸ“¦ 130 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` @@ -6283,50 +6283,50 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge hnswlib ```
-
USearch (πŸ₯ˆ30 Β· ⭐ 2.3K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 +
NMSLIB (πŸ₯ˆ32 Β· ⭐ 3.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 140 Β· πŸ“₯ 36K Β· πŸ“¦ 140 Β· πŸ“‹ 170 - 35% open Β· ⏱️ 21.11.2024): +- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 450 Β· πŸ“¦ 1.3K Β· πŸ“‹ 440 - 20% open Β· ⏱️ 21.09.2024): ``` - git clone https://github.com/unum-cloud/usearch - ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 340K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2024): - ``` - pip install usearch + git clone https://github.com/nmslib/nmslib ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.3K / month Β· πŸ“¦ 14 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 490K / month Β· πŸ“¦ 63 Β· ⏱️ 03.02.2021): ``` - npm install usearch + pip install nmslib ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 160 Β· ⭐ 1 Β· ⏱️ 21.11.2024): +- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 160K Β· ⏱️ 09.09.2024): ``` - docker pull unum/usearch + conda install -c conda-forge nmslib ```
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NMSLIB (πŸ₯‰29 Β· ⭐ 3.4K) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 +
USearch (πŸ₯‰30 Β· ⭐ 2.3K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 450 Β· πŸ“¦ 1.3K Β· πŸ“‹ 440 - 20% open Β· ⏱️ 21.09.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 140 Β· πŸ“₯ 38K Β· πŸ“¦ 140 Β· πŸ“‹ 170 - 35% open Β· ⏱️ 21.11.2024): ``` - git clone https://github.com/nmslib/nmslib + git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“¦ 63 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 330K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2024): ``` - pip install nmslib + pip install usearch ``` -- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 160K Β· ⏱️ 09.09.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.4K / month Β· πŸ“¦ 14 Β· ⏱️ 21.11.2024): ``` - conda install -c conda-forge nmslib + npm install usearch + ``` +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 160 Β· ⭐ 1 Β· ⏱️ 21.11.2024): + ``` + docker pull unum/usearch ```
-
PyNNDescent (πŸ₯‰25 Β· ⭐ 900) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
PyNNDescent (πŸ₯‰27 Β· ⭐ 900) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 100 Β· πŸ“¦ 8.6K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 10.11.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 110 Β· πŸ“¦ 8.7K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 10.11.2024): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“¦ 160 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 2.1M / month Β· πŸ“¦ 160 Β· ⏱️ 17.06.2024): ``` pip install pynndescent ``` @@ -6335,23 +6335,23 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
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NGT (πŸ₯‰20 Β· ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (πŸ₯‰23 Β· ⭐ 1.3K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 -- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 140 - 14% open Β· ⏱️ 12.11.2024): +- [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 14% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 3.5K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ```
Show 4 hidden projects... +- Magnitude (πŸ₯‰20 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT - NearPy (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT - N2 (πŸ₯‰20 Β· ⭐ 570 Β· πŸ’€) - TOROS N2 - lightweight approximate Nearest Neighbor library which runs.. Apache-2 -- Magnitude (πŸ₯‰17 Β· ⭐ 1.6K Β· πŸ’€) - A fast, efficient universal vector embedding utility package. MIT - PySparNN (πŸ₯‰11 Β· ⭐ 920 Β· πŸ’€) - Approximate Nearest Neighbor Search for Sparse Data in Python!. BSD-3

@@ -6364,12 +6364,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡41 Β· ⭐ 8.8K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 4.8K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2K Β· πŸ“¦ 4.9K Β· πŸ“‹ 3.4K - 9% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 260K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 280K / month Β· πŸ“¦ 190 Β· ⏱️ 31.05.2024): ``` pip install pymc3 ``` @@ -6378,14 +6378,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pymc3 ```
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tensorflow-probability (πŸ₯‡34 Β· ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2 +
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4.3K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 2 Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.1K Β· πŸ“¦ 2 Β· πŸ“‹ 1.5K - 48% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“¦ 620 Β· ⏱️ 08.11.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.4M / month Β· πŸ“¦ 620 Β· ⏱️ 08.11.2024): ``` pip install tensorflow-probability ``` @@ -6396,110 +6396,110 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯‡34 Β· ⭐ 2.8K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 720 Β· πŸ“₯ 570 Β· πŸ“¦ 1.3K Β· πŸ“‹ 950 - 31% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 720 Β· πŸ“₯ 570 Β· πŸ“¦ 1.3K Β· πŸ“‹ 950 - 31% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 130K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 120K / month Β· πŸ“¦ 53 Β· ⏱️ 09.08.2024): ``` pip install pgmpy ```
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Pyro (πŸ₯ˆ33 Β· ⭐ 8.6K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 +
patsy (πŸ₯‡34 Β· ⭐ 960) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 110K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/pyro-ppl/pyro + git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 280K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 15M / month Β· πŸ“¦ 530 Β· ⏱️ 12.11.2024): ``` - pip install pyro-ppl + pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 210K Β· ⏱️ 03.06.2024): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 13M Β· ⏱️ 10.12.2024): ``` - conda install -c conda-forge pyro-ppl + conda install -c conda-forge patsy ```
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hmmlearn (πŸ₯ˆ32 Β· ⭐ 3.1K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 +
Pyro (πŸ₯ˆ33 Β· ⭐ 8.6K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 2.9K Β· πŸ“‹ 450 - 15% open Β· ⏱️ 31.10.2024): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 990 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 04.12.2024): ``` - git clone https://github.com/hmmlearn/hmmlearn + git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 1.4M / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 280K / month Β· πŸ“¦ 190 Β· ⏱️ 02.06.2024): ``` - pip install hmmlearn + pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 310K Β· ⏱️ 31.10.2024): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 210K Β· ⏱️ 03.06.2024): ``` - conda install -c conda-forge hmmlearn + conda install -c conda-forge pyro-ppl ```
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patsy (πŸ₯ˆ32 Β· ⭐ 960) - Describing statistical models in Python using symbolic formulas. BSD-2 +
GPyTorch (πŸ₯ˆ32 Β· ⭐ 3.6K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 110K Β· πŸ“‹ 160 - 46% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/pydata/patsy + git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“¦ 530 Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 06.09.2024): ``` - pip install patsy + pip install gpytorch ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 13M Β· ⏱️ 12.11.2024): +- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 190K Β· ⏱️ 07.09.2024): ``` - conda install -c conda-forge patsy + conda install -c conda-forge gpytorch ```
-
SALib (πŸ₯ˆ32 Β· ⭐ 890) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
hmmlearn (πŸ₯ˆ32 Β· ⭐ 3.1K) - Hidden Markov Models in Python, with scikit-learn like API. BSD-3 -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 230 Β· πŸ“¦ 1.3K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 10.10.2024): +- [GitHub](https://github.com/hmmlearn/hmmlearn) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 740 Β· πŸ“¦ 3K Β· πŸ“‹ 450 - 15% open Β· ⏱️ 31.10.2024): ``` - git clone https://github.com/SALib/SALib + git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 1.2M / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 1.2M / month Β· πŸ“¦ 92 Β· ⏱️ 31.10.2024): ``` - pip install salib + pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 190K Β· ⏱️ 20.09.2024): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 310K Β· ⏱️ 31.10.2024): ``` - conda install -c conda-forge salib + conda install -c conda-forge hmmlearn ```
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GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.6K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT +
emcee (πŸ₯ˆ31 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 560 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.4K - 27% open Β· ⏱️ 20.11.2024): +- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 430 Β· πŸ“¦ 2.7K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 07.12.2024): ``` - git clone https://github.com/cornellius-gp/gpytorch + git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 1.2M / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): ``` - pip install gpytorch + pip install emcee ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 190K Β· ⏱️ 07.09.2024): +- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 370K Β· ⏱️ 22.04.2024): ``` - conda install -c conda-forge gpytorch + conda install -c conda-forge emcee ```
-
emcee (πŸ₯ˆ31 Β· ⭐ 1.5K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT +
SALib (πŸ₯ˆ31 Β· ⭐ 890 Β· πŸ“‰) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST,.. MIT -- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 430 Β· πŸ“¦ 2.7K Β· πŸ“‹ 300 - 19% open Β· ⏱️ 03.11.2024): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 230 Β· πŸ“¦ 1.3K Β· πŸ“‹ 340 - 15% open Β· ⏱️ 10.10.2024): ``` - git clone https://github.com/dfm/emcee + git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 1.4M / month Β· πŸ“¦ 440 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 1.1M / month Β· πŸ“¦ 130 Β· ⏱️ 19.08.2024): ``` - pip install emcee + pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 370K Β· ⏱️ 22.04.2024): +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 190K Β· ⏱️ 20.09.2024): ``` - conda install -c conda-forge emcee + conda install -c conda-forge salib ```
pandas-ta (πŸ₯‰30 Β· ⭐ 5.5K) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT @@ -6509,7 +6509,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 310K / month Β· πŸ“¦ 120 Β· ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 300K / month Β· πŸ“¦ 120 Β· ⏱️ 28.07.2021): ``` pip install pandas-ta ``` @@ -6518,14 +6518,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pandas-ta ```
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GPflow (πŸ₯‰29 Β· ⭐ 1.8K) - Gaussian processes in TensorFlow. Apache-2 +
GPflow (πŸ₯‰29 Β· ⭐ 1.9K) - Gaussian processes in TensorFlow. Apache-2 - [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 440 Β· πŸ“¦ 700 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 04.10.2024): ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 64K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 68K / month Β· πŸ“¦ 35 Β· ⏱️ 17.06.2024): ``` pip install gpflow ``` @@ -6541,7 +6541,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/stan-dev/pystan ``` -- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 730K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): +- [PyPi](https://pypi.org/project/pystan) (πŸ“₯ 740K / month Β· πŸ“¦ 160 Β· ⏱️ 03.07.2024): ``` pip install pystan ``` @@ -6557,7 +6557,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 20K / month Β· πŸ“¦ 59 Β· ⏱️ 18.10.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 18K / month Β· πŸ“¦ 59 Β· ⏱️ 18.10.2024): ``` pip install pomegranate ``` @@ -6566,7 +6566,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge pomegranate ```
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bambi (πŸ₯‰26 Β· ⭐ 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (πŸ₯‰27 Β· ⭐ 1.1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT - [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 130 Β· πŸ“¦ 160 Β· πŸ“‹ 420 - 19% open Β· ⏱️ 04.12.2024): @@ -6577,23 +6577,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 40K Β· ⏱️ 10.07.2024): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 41K Β· ⏱️ 10.07.2024): ``` conda install -c conda-forge bambi ```
scikit-posthocs (πŸ₯‰26 Β· ⭐ 350) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 40 Β· πŸ“₯ 65 Β· πŸ“¦ 910 Β· πŸ“‹ 60 - 5% open Β· ⏱️ 27.11.2024): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 40 Β· πŸ“₯ 65 Β· πŸ“¦ 920 Β· πŸ“‹ 61 - 4% open Β· ⏱️ 05.12.2024): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 110K / month Β· πŸ“¦ 61 Β· ⏱️ 27.11.2024): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 120K / month Β· πŸ“¦ 63 Β· ⏱️ 05.12.2024): ``` pip install scikit-posthocs ``` -- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 990K Β· ⏱️ 29.11.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (πŸ“₯ 990K Β· ⏱️ 06.12.2024): ``` conda install -c conda-forge scikit-posthocs ``` @@ -6605,31 +6605,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 14K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 12K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ```
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TorchUncertainty (πŸ₯‰22 Β· ⭐ 320) - Open-source framework for uncertainty and deep.. Apache-2 - -- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 20 Β· πŸ“‹ 38 - 28% open Β· ⏱️ 19.11.2024): - - ``` - git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty - ``` -- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 18.11.2024): - ``` - pip install torch-uncertainty - ``` -
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Baal (πŸ₯‰20 Β· ⭐ 870) - Bayesian active learning library for research and industrial usecases. Apache-2 +
Baal (πŸ₯‰21 Β· ⭐ 880) - Bayesian active learning library for research and industrial usecases. Apache-2 - [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 86 Β· πŸ“¦ 62 Β· πŸ“‹ 110 - 17% open Β· ⏱️ 27.06.2024): ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“¦ 2 Β· ⏱️ 11.06.2024): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 11.06.2024): ``` pip install baal ``` @@ -6638,13 +6626,25 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge baal ```
+
TorchUncertainty (πŸ₯‰21 Β· ⭐ 320) - Open-source framework for uncertainty and deep.. Apache-2 + +- [GitHub](https://github.com/ENSTA-U2IS-AI/torch-uncertainty) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 20 Β· πŸ“‹ 38 - 28% open Β· ⏱️ 19.11.2024): + + ``` + git clone https://github.com/ENSTA-U2IS-AI/torch-uncertainty + ``` +- [PyPi](https://pypi.org/project/torch-uncertainty) (πŸ“₯ 1K / month Β· πŸ“¦ 3 Β· ⏱️ 18.11.2024): + ``` + pip install torch-uncertainty + ``` +
Show 6 hidden projects... - filterpy (πŸ₯ˆ32 Β· ⭐ 3.4K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- pingouin (πŸ₯‰30 Β· ⭐ 1.6K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 -- Edward (πŸ₯‰24 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 +- pingouin (πŸ₯‰30 Β· ⭐ 1.7K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - pyhsmm (πŸ₯‰21 Β· ⭐ 550 Β· πŸ’€) - Bayesian inference in HSMMs and HMMs. MIT -- Funsor (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - Functional tensors for probabilistic programming. Apache-2 +- Funsor (πŸ₯‰19 Β· ⭐ 240 Β· πŸ’€) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (πŸ₯‰15 Β· ⭐ 2.2K Β· πŸ’€) - A probabilistic programming library for Bayesian deep learning,.. MIT

@@ -6657,7 +6657,7 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡34 Β· ⭐ 4.9K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 620 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 18.11.2024): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.2K Β· πŸ“¦ 620 Β· πŸ“‹ 900 - 15% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox @@ -6666,19 +6666,19 @@ _Libraries for testing the robustness of machine learning models against attacks ``` pip install adversarial-robustness-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 55K Β· ⏱️ 03.10.2024): +- [Conda](https://anaconda.org/conda-forge/adversarial-robustness-toolbox) (πŸ“₯ 56K Β· ⏱️ 03.10.2024): ``` conda install -c conda-forge adversarial-robustness-toolbox ```
TextAttack (πŸ₯ˆ27 Β· ⭐ 3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 380 Β· πŸ“¦ 320 Β· πŸ“‹ 280 - 22% open Β· ⏱️ 25.07.2024): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 390 Β· πŸ“¦ 330 Β· πŸ“‹ 280 - 22% open Β· ⏱️ 25.07.2024): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 6.6K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 6.8K / month Β· πŸ“¦ 11 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -6687,14 +6687,14 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge textattack ```
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Foolbox (πŸ₯ˆ26 Β· ⭐ 2.8K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT +
Foolbox (πŸ₯ˆ27 Β· ⭐ 2.8K Β· πŸ’€) - A Python toolbox to create adversarial examples that fool neural.. MIT -- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 640 Β· πŸ“‹ 380 - 7% open Β· ⏱️ 04.03.2024): +- [GitHub](https://github.com/bethgelab/foolbox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 650 Β· πŸ“‹ 380 - 7% open Β· ⏱️ 04.03.2024): ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 5.5K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` pip install foolbox ``` @@ -6705,7 +6705,7 @@ _Libraries for testing the robustness of machine learning models against attacks
Show 6 hidden projects... -- CleverHans (πŸ₯ˆ28 Β· ⭐ 6.2K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT +- CleverHans (πŸ₯ˆ29 Β· ⭐ 6.2K Β· πŸ’€) - An adversarial example library for constructing attacks,.. MIT - advertorch (πŸ₯‰22 Β· ⭐ 1.3K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 - AdvBox (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 - robustness (πŸ₯‰19 Β· ⭐ 920 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT @@ -6720,26 +6720,34 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
cuDF (πŸ₯‡35 Β· ⭐ 8.5K) - cuDF - GPU DataFrame Library. Apache-2 +
CuPy (πŸ₯‡39 Β· ⭐ 9.6K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 910 Β· πŸ“¦ 57 Β· πŸ“‹ 6.6K - 15% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 860 Β· πŸ“₯ 190K Β· πŸ“¦ 2.4K Β· πŸ“‹ 2.4K - 25% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/rapidsai/cudf + git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.7K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 76K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): ``` - pip install cudf + pip install cupy + ``` +- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 5.2M Β· ⏱️ 18.10.2024): + ``` + conda install -c conda-forge cupy + ``` +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 72K Β· ⭐ 13 Β· ⏱️ 22.08.2024): + ``` + docker pull cupy/cupy ```
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optimum (πŸ₯‡32 Β· ⭐ 2.6K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 +
optimum (πŸ₯‡36 Β· ⭐ 2.6K) - Accelerate inference and training of Transformers, Diffusers, TIMM.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 470 Β· πŸ“¦ 4K Β· πŸ“‹ 860 - 49% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 470 Β· πŸ“¦ 4.1K Β· πŸ“‹ 870 - 49% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“¦ 180 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 1.5M / month Β· πŸ“¦ 180 Β· ⏱️ 29.10.2024): ``` pip install optimum ``` @@ -6748,44 +6756,56 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge optimum ```
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PyCUDA (πŸ₯‡32 Β· ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT +
cuDF (πŸ₯ˆ35 Β· ⭐ 8.5K) - cuDF - GPU DataFrame Library. Apache-2 + +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 910 Β· πŸ“¦ 58 Β· πŸ“‹ 6.7K - 15% open Β· ⏱️ 12.12.2024): + + ``` + git clone https://github.com/rapidsai/cudf + ``` +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.7K / month Β· πŸ“¦ 22 Β· ⏱️ 01.06.2020): + ``` + pip install cudf + ``` +
+
PyCUDA (πŸ₯ˆ32 Β· ⭐ 1.9K) - CUDA integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 280 Β· πŸ“¦ 3.3K Β· πŸ“‹ 280 - 29% open Β· ⏱️ 05.11.2024): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 95K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 91K / month Β· πŸ“¦ 160 Β· ⏱️ 30.07.2024): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 650K Β· ⏱️ 17.08.2024): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 660K Β· ⏱️ 17.08.2024): ``` conda install -c conda-forge pycuda ```
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cuML (πŸ₯ˆ31 Β· ⭐ 4.3K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
Apex (πŸ₯ˆ31 Β· ⭐ 8.5K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 530 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.3K - 58% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/rapidsai/cuml + git clone https://github.com/NVIDIA/apex ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 3.9K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 370K Β· ⏱️ 04.11.2024): ``` - pip install cuml + conda install -c conda-forge nvidia-apex ```
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Apex (πŸ₯ˆ30 Β· ⭐ 8.4K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 +
cuML (πŸ₯ˆ31 Β· ⭐ 4.3K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.4K Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.3K - 58% open Β· ⏱️ 28.11.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 530 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/NVIDIA/apex + git clone https://github.com/rapidsai/cuml ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 370K Β· ⏱️ 04.11.2024): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 4K / month Β· πŸ“¦ 14 Β· ⏱️ 01.06.2020): ``` - conda install -c conda-forge nvidia-apex + pip install cuml ```
gpustat (πŸ₯ˆ29 Β· ⭐ 4.1K Β· πŸ’€) - A simple command-line utility for querying and monitoring GPU status. MIT @@ -6795,7 +6815,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 620K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 610K / month Β· πŸ“¦ 150 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -6804,34 +6824,26 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge gpustat ```
-
CuPy (πŸ₯ˆ27 Β· ⭐ 9.5K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +
ArrayFire (πŸ₯ˆ28 Β· ⭐ 4.6K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 860): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 530 Β· πŸ“₯ 7.5K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 06.11.2024): ``` - git clone https://github.com/cupy/cupy - ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 79K / month Β· πŸ“¦ 270 Β· ⏱️ 22.08.2024): - ``` - pip install cupy - ``` -- [Conda](https://anaconda.org/conda-forge/cupy) (πŸ“₯ 5.1M Β· ⏱️ 18.10.2024): - ``` - conda install -c conda-forge cupy + git clone https://github.com/arrayfire/arrayfire ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 71K Β· ⭐ 13 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 3K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` - docker pull cupy/cupy + pip install arrayfire ```
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cuGraph (πŸ₯ˆ27 Β· ⭐ 1.8K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
cuGraph (πŸ₯‰27 Β· ⭐ 1.8K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 300 Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 300 Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 410 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -6840,39 +6852,27 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge libcugraph ```
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ArrayFire (πŸ₯‰26 Β· ⭐ 4.6K) - ArrayFire: a general purpose GPU library. BSD-3 - -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 530 Β· πŸ“₯ 7.4K Β· πŸ“‹ 1.7K - 19% open Β· ⏱️ 06.11.2024): - - ``` - git clone https://github.com/arrayfire/arrayfire - ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“¦ 10 Β· ⏱️ 22.02.2022): - ``` - pip install arrayfire - ``` -
DALI (πŸ₯‰25 Β· ⭐ 5.2K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 620 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 620 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/NVIDIA/DALI ```
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Vulkan Kompute (πŸ₯‰20 Β· ⭐ 2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 +
Vulkan Kompute (πŸ₯‰23 Β· ⭐ 2K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 150 Β· πŸ“₯ 600 Β· πŸ“‹ 220 - 32% open Β· ⏱️ 16.11.2024): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 150 Β· πŸ“₯ 610 Β· πŸ“‹ 220 - 32% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 280 / month Β· ⏱️ 20.01.2024): ``` pip install kp ```
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Merlin (πŸ₯‰20 Β· ⭐ 780) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Merlin (πŸ₯‰21 Β· ⭐ 780) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 - [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 120 Β· πŸ“‹ 460 - 46% open Β· ⏱️ 22.07.2024): @@ -6886,14 +6886,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Show 8 hidden projects... -- GPUtil (πŸ₯‰25 Β· ⭐ 1.1K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT -- scikit-cuda (πŸ₯‰22 Β· ⭐ 990 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 +- GPUtil (πŸ₯‰25 Β· ⭐ 1.2K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT +- scikit-cuda (πŸ₯‰24 Β· ⭐ 990 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 - py3nvml (πŸ₯‰22 Β· ⭐ 240 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 +- nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 130) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - cuSignal (πŸ₯‰16 Β· ⭐ 720 Β· πŸ’€) - GPU accelerated signal processing. Apache-2 +- SpeedTorch (πŸ₯‰16 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (πŸ₯‰16 Β· ⭐ 210 Β· πŸ’€) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 -- SpeedTorch (πŸ₯‰14 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT -- nvidia-ml-py3 (πŸ₯‰14 Β· ⭐ 130) - Python 3 Bindings for the NVIDIA Management Library. BSD-3

@@ -6903,14 +6903,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c _Libraries that extend TensorFlow with additional capabilities._ -
TensorFlow Datasets (πŸ₯‡34 Β· ⭐ 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2 +
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4.3K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.6K Β· πŸ“¦ 21K Β· πŸ“‹ 2.4K - 66% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.6K Β· πŸ“¦ 21K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“¦ 330 Β· ⏱️ 30.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 2M / month Β· πŸ“¦ 330 Β· ⏱️ 30.10.2024): ``` pip install tensorflow-datasets ``` @@ -6919,14 +6919,14 @@ _Libraries that extend TensorFlow with additional capabilities._ conda install -c conda-forge tensorflow-datasets ```
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TFX (πŸ₯‡33 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
TFX (πŸ₯‡34 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 710 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 710 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 34K / month Β· πŸ“¦ 17 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 33K / month Β· πŸ“¦ 17 Β· ⏱️ 11.12.2024): ``` pip install tfx ``` @@ -6938,7 +6938,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.1M / month Β· πŸ“¦ 300 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` @@ -6959,6 +6959,18 @@ _Libraries that extend TensorFlow with additional capabilities._ pip install tensorflow-addons ```
+
TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 710 Β· πŸ“ˆ) - Dataset, streaming, and file system extensions.. Apache-2 + +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“‹ 660 - 44% open Β· ⏱️ 01.07.2024): + + ``` + git clone https://github.com/tensorflow/io + ``` +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 1.3M / month Β· πŸ“¦ 61 Β· ⏱️ 01.07.2024): + ``` + pip install tensorflow-io + ``` +
TF Model Optimization (πŸ₯ˆ28 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 - [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 320 Β· πŸ“‹ 400 - 57% open Β· ⏱️ 04.11.2024): @@ -6966,7 +6978,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 720K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 780K / month Β· πŸ“¦ 45 Β· ⏱️ 08.02.2024): ``` pip install tensorflow-model-optimization ``` @@ -6978,7 +6990,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 520K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 540K / month Β· πŸ“¦ 18 Β· ⏱️ 28.10.2024): ``` pip install tensorflow-transform ``` @@ -6990,21 +7002,21 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 6.6K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 6.5K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` pip install neural-structured-learning ```
-
TensorFlow I/O (πŸ₯‰24 Β· ⭐ 710 Β· πŸ“‰) - Dataset, streaming, and file system extensions.. Apache-2 +
Saliency (πŸ₯‰22 Β· ⭐ 960 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“‹ 660 - 44% open Β· ⏱️ 01.07.2024): +- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 110 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): ``` - git clone https://github.com/tensorflow/io + git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“¦ 61 Β· ⏱️ 01.07.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 16K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): ``` - pip install tensorflow-io + pip install saliency ```
TF Compression (πŸ₯‰21 Β· ⭐ 860) - Data compression in TensorFlow. Apache-2 @@ -7014,42 +7026,30 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 2.7K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 3K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ```
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Saliency (πŸ₯‰18 Β· ⭐ 960 Β· πŸ’€) - Framework-agnostic implementation for state-of-the-art.. Apache-2 - -- [GitHub](https://github.com/PAIR-code/saliency) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 190 Β· πŸ“¦ 110 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 20.03.2024): - - ``` - git clone https://github.com/PAIR-code/saliency - ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“¦ 8 Β· ⏱️ 20.03.2024): - ``` - pip install saliency - ``` -
-
TensorFlow Cloud (πŸ₯‰17 Β· ⭐ 380 Β· πŸ’€) - The TensorFlow Cloud repository provides APIs that.. Apache-2 +
TensorFlow Cloud (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - The TensorFlow Cloud repository provides APIs that.. Apache-2 - [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 90 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 40K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ```
Show 5 hidden projects... -- tensor2tensor (πŸ₯‡33 Β· ⭐ 16K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 +- tensor2tensor (πŸ₯ˆ33 Β· ⭐ 16K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 +- Keras-Preprocessing (πŸ₯ˆ28 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 -- Keras-Preprocessing (πŸ₯‰25 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT -- TensorNets (πŸ₯‰19 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT -- tffm (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT +- TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT +- tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7059,19 +7059,19 @@ _Libraries that extend TensorFlow with additional capabilities._ _Libraries that extend Jax with additional capabilities._ -
equinox (πŸ₯‡31 Β· ⭐ 2.1K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 +
equinox (πŸ₯‡31 Β· ⭐ 2.2K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 140 Β· πŸ“¦ 870 Β· πŸ“‹ 470 - 34% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 140 Β· πŸ“¦ 880 Β· πŸ“‹ 480 - 34% open Β· ⏱️ 08.12.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 270K / month Β· πŸ“¦ 190 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 300K / month Β· πŸ“¦ 200 Β· ⏱️ 08.12.2024): ``` pip install equinox ```
-
evojax (πŸ₯‰19 Β· ⭐ 850) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 +
evojax (πŸ₯‰19 Β· ⭐ 860) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 - [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 87 Β· πŸ“¦ 27 Β· πŸ“‹ 37 - 54% open Β· ⏱️ 27.06.2024): @@ -7099,78 +7099,78 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1.2K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 +
MLxtend (πŸ₯‡35 Β· ⭐ 4.9K) - A library of extension and helper modules for Pythons data.. BSD-3 -- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 180 Β· πŸ“¦ 13K Β· πŸ“‹ 280 - 29% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 870 Β· πŸ“¦ 17K Β· πŸ“‹ 490 - 29% open Β· ⏱️ 15.11.2024): ``` - git clone https://github.com/intel/scikit-learn-intelex + git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“¦ 55 Β· ⏱️ 25.10.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 880K / month Β· πŸ“¦ 190 Β· ⏱️ 15.11.2024): ``` - pip install scikit-learn-intelex + pip install mlxtend ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 380K Β· ⏱️ 13.11.2024): +- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 330K Β· ⏱️ 16.11.2024): ``` - conda install -c conda-forge scikit-learn-intelex + conda install -c conda-forge mlxtend ```
-
MLxtend (πŸ₯‡32 Β· ⭐ 4.9K) - A library of extension and helper modules for Pythons data.. BSD-3 +
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Extension for Scikit-learn is a seamless way to speed.. Apache-2 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 870 Β· πŸ“¦ 16K Β· πŸ“‹ 490 - 29% open Β· ⏱️ 15.11.2024): +- [GitHub](https://github.com/uxlfoundation/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 180 Β· πŸ“¦ 13K Β· πŸ“‹ 240 - 18% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/rasbt/mlxtend + git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“¦ 190 Β· ⏱️ 15.11.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 210K / month Β· πŸ“¦ 55 Β· ⏱️ 12.12.2024): ``` - pip install mlxtend + pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 330K Β· ⏱️ 16.11.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 390K Β· ⏱️ 13.11.2024): ``` - conda install -c conda-forge mlxtend + conda install -c conda-forge scikit-learn-intelex ```
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category_encoders (πŸ₯‡32 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 +
imbalanced-learn (πŸ₯ˆ33 Β· ⭐ 6.9K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 400 Β· πŸ“¦ 2.4K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 01.10.2024): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.3K Β· πŸ“‹ 620 - 7% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/scikit-learn-contrib/category_encoders + git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.6M / month Β· πŸ“¦ 280 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 16M / month Β· πŸ“¦ 450 Β· ⏱️ 04.10.2024): ``` - pip install category_encoders + pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 290K Β· ⏱️ 02.10.2024): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 640K Β· ⏱️ 04.10.2024): ``` - conda install -c conda-forge category_encoders + conda install -c conda-forge imbalanced-learn ```
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imbalanced-learn (πŸ₯ˆ30 Β· ⭐ 6.9K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
category_encoders (πŸ₯ˆ32 Β· ⭐ 2.4K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.3K Β· πŸ“‹ 620 - 7% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 400 Β· πŸ“¦ 2.4K Β· πŸ“‹ 290 - 15% open Β· ⏱️ 01.10.2024): ``` - git clone https://github.com/scikit-learn-contrib/imbalanced-learn + git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“¦ 450 Β· ⏱️ 04.10.2024): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.5M / month Β· πŸ“¦ 280 Β· ⏱️ 01.10.2024): ``` - pip install imbalanced-learn + pip install category_encoders ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 640K Β· ⏱️ 04.10.2024): +- [Conda](https://anaconda.org/conda-forge/category_encoders) (πŸ“₯ 290K Β· ⏱️ 02.10.2024): ``` - conda install -c conda-forge imbalanced-learn + conda install -c conda-forge category_encoders ```
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scikit-lego (πŸ₯ˆ25 Β· ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT +
scikit-lego (πŸ₯ˆ28 Β· ⭐ 1.3K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 330 - 11% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 330 - 12% open Β· ⏱️ 08.12.2024): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“¦ 13 Β· ⏱️ 13.11.2024): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 25K / month Β· πŸ“¦ 13 Β· ⏱️ 13.11.2024): ``` pip install scikit-lego ``` @@ -7179,28 +7179,28 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ```
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iterative-stratification (πŸ₯ˆ23 Β· ⭐ 850) - scikit-learn cross validators for iterative.. BSD-3 +
scikit-opt (πŸ₯‰25 Β· ⭐ 5.3K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 520 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): +- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 990 Β· πŸ“¦ 240 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 23.06.2024): ``` - git clone https://github.com/trent-b/iterative-stratification + git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 39K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 4.4K / month Β· πŸ“¦ 15 Β· ⏱️ 14.01.2022): ``` - pip install iterative-stratification + pip install scikit-opt ```
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scikit-opt (πŸ₯‰22 Β· ⭐ 5.3K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
iterative-stratification (πŸ₯‰23 Β· ⭐ 850) - scikit-learn cross validators for iterative.. BSD-3 -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 990 Β· πŸ“¦ 240 Β· πŸ“‹ 180 - 37% open Β· ⏱️ 23.06.2024): +- [GitHub](https://github.com/trent-b/iterative-stratification) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 75 Β· πŸ“¦ 520 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 12.10.2024): ``` - git clone https://github.com/guofei9987/scikit-opt + git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“¦ 15 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 41K / month Β· πŸ“¦ 15 Β· ⏱️ 12.10.2024): ``` - pip install scikit-opt + pip install iterative-stratification ```
dabl (πŸ₯‰20 Β· ⭐ 720) - Data Analysis Baseline Library. BSD-3 @@ -7210,7 +7210,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/amueller/dabl ``` -- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 5.8K / month Β· πŸ“¦ 3 Β· ⏱️ 07.08.2024): +- [PyPi](https://pypi.org/project/dabl) (πŸ“₯ 6.2K / month Β· πŸ“¦ 3 Β· ⏱️ 07.08.2024): ``` pip install dabl ``` @@ -7222,19 +7222,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 990 / month Β· ⏱️ 19.07.2024): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 1K / month Β· ⏱️ 19.07.2024): ``` pip install scikit-tda ```
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DESlib (πŸ₯‰15 Β· ⭐ 480 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰18 Β· ⭐ 480 Β· πŸ’€) - A Python library for dynamic classifier and ensemble selection. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“‹ 160 - 11% open Β· ⏱️ 15.04.2024): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7243,13 +7243,13 @@ _Libraries that extend scikit-learn with additional capabilities._ - scikit-survival (πŸ₯ˆ31 Β· ⭐ 1.1K) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 -- sklearn-crfsuite (πŸ₯ˆ23 Β· ⭐ 430 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT +- scikit-multilearn (πŸ₯ˆ27 Β· ⭐ 920 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 +- sklearn-crfsuite (πŸ₯‰26 Β· ⭐ 430 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 -- scikit-multilearn (πŸ₯‰22 Β· ⭐ 920 Β· πŸ’€) - A scikit-learn based module for multi-label et. al... BSD-2 -- skope-rules (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause +- combo (πŸ₯‰22 Β· ⭐ 640 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost +- skope-rules (πŸ₯‰21 Β· ⭐ 620 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (πŸ₯‰20 Β· ⭐ 200) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 -- combo (πŸ₯‰17 Β· ⭐ 640 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost -- skggm (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT +- skggm (πŸ₯‰17 Β· ⭐ 240 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT

@@ -7261,36 +7261,28 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡40 Β· ⭐ 8K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 980 Β· πŸ“¦ 61K Β· πŸ“‹ 1.7K - 7% open Β· ⏱️ 03.12.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 980 Β· πŸ“¦ 62K Β· πŸ“‹ 1.7K - 6% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.6K Β· ⏱️ 07.11.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8.6M / month Β· πŸ“¦ 1.7K Β· ⏱️ 06.12.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 250K Β· ⏱️ 07.11.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 260K Β· ⏱️ 07.12.2024): ``` conda install -c conda-forge accelerate ```
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tinygrad (πŸ₯‡33 Β· ⭐ 27K) - You like pytorch? You like micrograd? You love tinygrad!. MIT - -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3K Β· πŸ“¦ 150 Β· πŸ“‹ 810 - 17% open Β· ⏱️ 05.12.2024): - - ``` - git clone https://github.com/geohot/tinygrad - ``` -
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PML (πŸ₯‡30 Β· ⭐ 6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT +
PML (πŸ₯‡35 Β· ⭐ 6K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 660 Β· πŸ“¦ 2.1K Β· πŸ“‹ 520 - 13% open Β· ⏱️ 02.11.2024): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 660 Β· πŸ“¦ 2.1K Β· πŸ“‹ 520 - 13% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“¦ 54 Β· ⏱️ 02.11.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 1M / month Β· πŸ“¦ 55 Β· ⏱️ 11.12.2024): ``` pip install pytorch-metric-learning ``` @@ -7299,14 +7291,22 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c metric-learning pytorch-metric-learning ```
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torchdiffeq (πŸ₯ˆ27 Β· ⭐ 5.6K) - Differentiable ODE solvers with full GPU support and.. MIT +
tinygrad (πŸ₯‡33 Β· ⭐ 27K) - You like pytorch? You like micrograd? You love tinygrad!. MIT + +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 3K Β· πŸ“¦ 150 Β· πŸ“‹ 810 - 16% open Β· ⏱️ 12.12.2024): + + ``` + git clone https://github.com/geohot/tinygrad + ``` +
+
torchdiffeq (πŸ₯‡31 Β· ⭐ 5.6K) - Differentiable ODE solvers with full GPU support and.. MIT - [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 930 Β· πŸ“¦ 4.2K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 21.11.2024): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“¦ 120 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 850K / month Β· πŸ“¦ 120 Β· ⏱️ 21.11.2024): ``` pip install torchdiffeq ``` @@ -7315,85 +7315,85 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torchdiffeq ```
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torch-scatter (πŸ₯ˆ25 Β· ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
Pytorch Toolbelt (πŸ₯ˆ26 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“‹ 400 - 7% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 120 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 21.11.2024): ``` - git clone https://github.com/rusty1s/pytorch_scatter - ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“¦ 150 Β· ⏱️ 06.10.2023): - ``` - pip install torch-scatter + git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 570K Β· ⏱️ 05.11.2024): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 8.5K / month Β· πŸ“¦ 12 Β· ⏱️ 21.11.2024): ``` - conda install -c conda-forge pytorch_scatter + pip install pytorch_toolbelt ```
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PyTorch Sparse (πŸ₯ˆ23 Β· ⭐ 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT +
torch-scatter (πŸ₯ˆ25 Β· ⭐ 1.6K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 150 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 12.11.2024): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 180 Β· πŸ“‹ 400 - 7% open Β· ⏱️ 02.12.2024): ``` - git clone https://github.com/rusty1s/pytorch_sparse + git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“¦ 120 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 42K / month Β· πŸ“¦ 150 Β· ⏱️ 06.10.2023): ``` - pip install torch-sparse + pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 530K Β· ⏱️ 05.11.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 580K Β· ⏱️ 05.11.2024): ``` - conda install -c conda-forge pytorch_sparse + conda install -c conda-forge pytorch_scatter ```
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Pytorch Toolbelt (πŸ₯‰21 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT +
EfficientNets (πŸ₯ˆ25 Β· ⭐ 1.6K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 120 Β· πŸ“₯ 120 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 21.11.2024): +- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 210 Β· πŸ“¦ 270 Β· πŸ“‹ 55 - 7% open Β· ⏱️ 13.06.2024): ``` - git clone https://github.com/BloodAxe/pytorch-toolbelt + git clone https://github.com/rwightman/gen-efficientnet-pytorch ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“¦ 12 Β· ⏱️ 21.11.2024): +- [PyPi](https://pypi.org/project/geffnet) (πŸ“₯ 160K / month Β· πŸ“¦ 4 Β· ⏱️ 08.07.2021): ``` - pip install pytorch_toolbelt + pip install geffnet ```
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EfficientNets (πŸ₯‰20 Β· ⭐ 1.6K) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 +
PyTorch Sparse (πŸ₯‰23 Β· ⭐ 1K) - PyTorch Extension Library of Optimized Autograd Sparse Matrix.. MIT -- [GitHub](https://github.com/rwightman/gen-efficientnet-pytorch) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 210 Β· πŸ“¦ 270 Β· πŸ“‹ 55 - 7% open Β· ⏱️ 13.06.2024): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 150 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 12.11.2024): ``` - git clone https://github.com/rwightman/gen-efficientnet-pytorch + git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/geffnet) (πŸ“¦ 4 Β· ⏱️ 08.07.2021): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 31K / month Β· πŸ“¦ 120 Β· ⏱️ 06.10.2023): ``` - pip install geffnet + pip install torch-sparse + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 540K Β· ⏱️ 05.11.2024): + ``` + conda install -c conda-forge pytorch_sparse ```
Show 24 hidden projects... -- pretrainedmodels (πŸ₯‡29 Β· ⭐ 9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- torchsde (πŸ₯ˆ30 Β· ⭐ 1.6K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 +- pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 9K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 +- pytorch-summary (πŸ₯ˆ28 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT - EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 8K Β· πŸ’€) - A PyTorch implementation of EfficientNet. Apache-2 -- lightning-flash (πŸ₯ˆ26 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 -- torchsde (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- TabNet (πŸ₯ˆ24 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT -- Higher (πŸ₯ˆ24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- pytorch-summary (πŸ₯ˆ23 Β· ⭐ 4K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()` in.. MIT -- pytorch-optimizer (πŸ₯ˆ23 Β· ⭐ 3K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 -- Torchmeta (πŸ₯ˆ23 Β· ⭐ 2K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT +- lightning-flash (πŸ₯ˆ27 Β· ⭐ 1.7K Β· πŸ’€) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 +- pytorch-optimizer (πŸ₯ˆ26 Β· ⭐ 3.1K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 +- TabNet (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of TabNet paper :.. MIT +- Higher (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 +- SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT +- Torchmeta (πŸ₯‰23 Β· ⭐ 2K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 +- micrograd (πŸ₯‰21 Β· ⭐ 11K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 +- reformer-pytorch (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT - Poutyne (πŸ₯‰21 Β· ⭐ 570) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- SRU (πŸ₯‰20 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Performer Pytorch (πŸ₯‰20 Β· ⭐ 1.1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT -- micrograd (πŸ₯‰19 Β· ⭐ 11K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - pytorchviz (πŸ₯‰19 Β· ⭐ 3.2K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT -- AdaBound (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Torch-Struct (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT -- Tensor Sensor (πŸ₯‰18 Β· ⭐ 800 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT -- reformer-pytorch (πŸ₯‰17 Β· ⭐ 2.1K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT - Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 +- Tensor Sensor (πŸ₯‰17 Β· ⭐ 800 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - madgrad (πŸ₯‰16 Β· ⭐ 800 Β· πŸ’€) - MADGRAD Optimization Method. MIT - Pywick (πŸ₯‰16 Β· ⭐ 400 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT - TorchDrift (πŸ₯‰15 Β· ⭐ 310 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2 @@ -7414,53 +7414,53 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (πŸ₯‡48 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 +
scipy (πŸ₯‡50 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.2K Β· πŸ“₯ 430K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 16% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 5.2K Β· πŸ“₯ 440K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 16% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“¦ 46K Β· ⏱️ 21.08.2024): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 120M / month Β· πŸ“¦ 46K Β· ⏱️ 21.08.2024): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 55M Β· ⏱️ 21.10.2024): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 55M Β· ⏱️ 08.12.2024): ``` conda install -c conda-forge scipy ```
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Streamlit (πŸ₯‡46 Β· ⭐ 36K) - Streamlit A faster way to build and share data apps. Apache-2 +
SymPy (πŸ₯‡49 Β· ⭐ 13K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.1K Β· πŸ“¦ 610K Β· πŸ“‹ 4.7K - 20% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.5K Β· πŸ“₯ 550K Β· πŸ“¦ 200K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 09.12.2024): ``` - git clone https://github.com/streamlit/streamlit + git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 8.3M / month Β· πŸ“¦ 2.9K Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 32M / month Β· πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): ``` - pip install streamlit + pip install sympy + ``` +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 7.3M Β· ⏱️ 09.10.2024): + ``` + conda install -c conda-forge sympy ```
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SymPy (πŸ₯‡46 Β· ⭐ 13K) - A computer algebra system written in pure Python. BSD-3 +
Streamlit (πŸ₯‡46 Β· ⭐ 36K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.5K Β· πŸ“₯ 550K Β· πŸ“¦ 200K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.1K Β· πŸ“¦ 620K Β· πŸ“‹ 4.7K - 20% open Β· ⏱️ 11.12.2024): ``` - git clone https://github.com/sympy/sympy - ``` -- [PyPi](https://pypi.org/project/sympy) (πŸ“¦ 3.5K Β· ⏱️ 18.09.2024): - ``` - pip install sympy + git clone https://github.com/streamlit/streamlit ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 7.3M Β· ⏱️ 09.10.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 8.1M / month Β· πŸ“¦ 3K Β· ⏱️ 10.12.2024): ``` - conda install -c conda-forge sympy + pip install streamlit ```
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Gradio (πŸ₯‡44 Β· ⭐ 34K) - Wrap UIs around any model, share with anyone. Apache-2 +
Gradio (πŸ₯‡44 Β· ⭐ 35K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.6K Β· πŸ“¦ 48K Β· πŸ“‹ 5.1K - 8% open Β· ⏱️ 05.12.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.6K Β· πŸ“¦ 49K Β· πŸ“‹ 5.1K - 8% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/gradio-app/gradio @@ -7472,23 +7472,39 @@ _Libraries for connecting to, operating, and querying databases._
Autograd (πŸ₯‡37 Β· ⭐ 7K) - Efficiently computes derivatives of NumPy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 910 Β· πŸ“¦ 10K Β· πŸ“‹ 420 - 42% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 910 Β· πŸ“¦ 11K Β· πŸ“‹ 420 - 42% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 5.3M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 5.1M / month Β· πŸ“¦ 280 Β· ⏱️ 22.08.2024): ``` pip install autograd ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 490K Β· ⏱️ 26.08.2024): +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 500K Β· ⏱️ 26.08.2024): ``` conda install -c conda-forge autograd ```
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PennyLane (πŸ₯‡37 Β· ⭐ 2.4K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 + +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“₯ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 12.12.2024): + + ``` + git clone https://github.com/PennyLaneAI/PennyLane + ``` +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 79K / month Β· πŸ“¦ 120 Β· ⏱️ 05.11.2024): + ``` + pip install pennylane + ``` +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 170K Β· ⏱️ 09.07.2024): + ``` + conda install -c conda-forge pennylane + ``` +
carla (πŸ₯‡36 Β· ⭐ 12K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.7K Β· πŸ“¦ 860 Β· πŸ“‹ 5.7K - 19% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 3.7K Β· πŸ“¦ 870 Β· πŸ“‹ 5.7K - 19% open Β· ⏱️ 10.12.2024): ``` git clone https://github.com/carla-simulator/carla @@ -7498,14 +7514,14 @@ _Libraries for connecting to, operating, and querying databases._ pip install carla ```
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PyOD (πŸ₯‡35 Β· ⭐ 8.6K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 +
PyOD (πŸ₯ˆ35 Β· ⭐ 8.6K) - A Python Library for Outlier and Anomaly Detection, Integrating Classical.. BSD-2 - [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 1.4K Β· πŸ“¦ 4.5K Β· πŸ“‹ 370 - 60% open Β· ⏱️ 12.11.2024): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 730K / month Β· πŸ“¦ 110 Β· ⏱️ 06.09.2024): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 710K / month Β· πŸ“¦ 110 Β· ⏱️ 06.09.2024): ``` pip install pyod ``` @@ -7514,14 +7530,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyod ```
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DeepChem (πŸ₯‡35 Β· ⭐ 5.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (πŸ₯ˆ35 Β· ⭐ 5.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 460 Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“¦ 460 Β· πŸ“‹ 1.9K - 34% open Β· ⏱️ 11.12.2024): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 75K / month Β· πŸ“¦ 13 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 67K / month Β· πŸ“¦ 13 Β· ⏱️ 11.12.2024): ``` pip install deepchem ``` @@ -7530,22 +7546,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge deepchem ```
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PennyLane (πŸ₯‡35 Β· ⭐ 2.4K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 - -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“₯ 99 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 05.12.2024): - - ``` - git clone https://github.com/PennyLaneAI/PennyLane - ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“¦ 120 Β· ⏱️ 05.11.2024): - ``` - pip install pennylane - ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 170K Β· ⏱️ 09.07.2024): - ``` - conda install -c conda-forge pennylane - ``` -
Datasette (πŸ₯ˆ34 Β· ⭐ 9.6K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 690 Β· πŸ“₯ 68 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.9K - 32% open Β· ⏱️ 29.11.2024): @@ -7553,7 +7553,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 200K / month Β· πŸ“¦ 420 Β· ⏱️ 29.11.2024): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 210K / month Β· πŸ“¦ 420 Β· ⏱️ 29.11.2024): ``` pip install datasette ``` @@ -7569,18 +7569,34 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 840K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 890K / month Β· πŸ“¦ 350 Β· ⏱️ 18.11.2024): ``` pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 2.2M Β· ⏱️ 12.10.2024): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 2.3M Β· ⏱️ 12.10.2024): ``` conda install -c conda-forge hdbscan ```
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agate (πŸ₯ˆ34 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT + +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 4.2K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 30.07.2024): + + ``` + git clone https://github.com/wireservice/agate + ``` +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 13M / month Β· πŸ“¦ 49 Β· ⏱️ 30.07.2024): + ``` + pip install agate + ``` +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 260K Β· ⏱️ 30.07.2024): + ``` + conda install -c conda-forge agate + ``` +
Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 190 Β· πŸ“¦ 2.9K Β· πŸ“‹ 870 - 15% open Β· ⏱️ 30.11.2024): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 190 Β· πŸ“¦ 2.9K Β· πŸ“‹ 880 - 15% open Β· ⏱️ 09.12.2024): ``` git clone https://github.com/serge-sans-paille/pythran @@ -7589,19 +7605,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 780K Β· ⏱️ 23.11.2024): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 790K Β· ⏱️ 23.11.2024): ``` conda install -c conda-forge pythran ```
tensorly (πŸ₯ˆ33 Β· ⭐ 1.6K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“¦ 830 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 12.11.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“¦ 830 Β· πŸ“‹ 270 - 21% open Β· ⏱️ 07.12.2024): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 260K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 230K / month Β· πŸ“¦ 99 Β· ⏱️ 12.11.2024): ``` pip install tensorly ``` @@ -7612,28 +7628,28 @@ _Libraries for connecting to, operating, and querying databases._
River (πŸ₯ˆ32 Β· ⭐ 5.1K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 550 Β· πŸ“¦ 600 Β· πŸ“‹ 620 - 19% open Β· ⏱️ 29.11.2024): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 550 Β· πŸ“¦ 610 Β· πŸ“‹ 620 - 19% open Β· ⏱️ 06.12.2024): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 110K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 100K / month Β· πŸ“¦ 64 Β· ⏱️ 25.11.2024): ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 89K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 90K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge river ```
datalad (πŸ₯ˆ32 Β· ⭐ 550) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 440 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 23.11.2024): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 110 Β· πŸ“¦ 440 Β· πŸ“‹ 4K - 13% open Β· ⏱️ 23.11.2024): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 72K / month Β· πŸ“¦ 98 Β· ⏱️ 18.11.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 65K / month Β· πŸ“¦ 98 Β· ⏱️ 18.11.2024): ``` pip install datalad ``` @@ -7644,24 +7660,24 @@ _Libraries for connecting to, operating, and querying databases._
PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 2.1K Β· πŸ“₯ 830 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 07.08.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 2.1K Β· πŸ“₯ 840 Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.3K - 44% open Β· ⏱️ 07.08.2024): ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.4K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.6K / month Β· πŸ“¦ 7 Β· ⏱️ 20.09.2023): ``` pip install paddlehub ```
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.4K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 760 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 04.12.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 770 Β· πŸ“‹ 570 - 19% open Β· ⏱️ 12.12.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 98K / month Β· πŸ“¦ 36 Β· ⏱️ 04.12.2024): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 99K / month Β· πŸ“¦ 36 Β· ⏱️ 04.12.2024): ``` pip install pyjanitor ``` @@ -7670,42 +7686,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyjanitor ```
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dstack (πŸ₯ˆ30 Β· ⭐ 1.6K) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0 - -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 160 Β· πŸ“¦ 16 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 05.12.2024): - - ``` - git clone https://github.com/dstackai/dstack - ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 11K / month Β· ⏱️ 04.12.2024): - ``` - pip install dstack - ``` -
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agate (πŸ₯ˆ30 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT - -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 4.1K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 30.07.2024): - - ``` - git clone https://github.com/wireservice/agate - ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“¦ 49 Β· ⏱️ 30.07.2024): - ``` - pip install agate - ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 260K Β· ⏱️ 30.07.2024): - ``` - conda install -c conda-forge agate - ``` -
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pyopencl (πŸ₯ˆ30 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT +
pyopencl (πŸ₯ˆ31 Β· ⭐ 1.1K) - OpenCL integration for Python, plus shiny features. MIT - [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 2.1K Β· πŸ“‹ 360 - 21% open Β· ⏱️ 22.11.2024): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“¦ 170 Β· ⏱️ 18.10.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 86K / month Β· πŸ“¦ 170 Β· ⏱️ 18.10.2024): ``` pip install pyopencl ``` @@ -7714,122 +7702,118 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyopencl ```
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causalml (πŸ₯ˆ29 Β· ⭐ 5.1K) - Uplift modeling and causal inference with machine learning.. Apache-2 +
causalml (πŸ₯ˆ30 Β· ⭐ 5.1K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 780 Β· πŸ“¦ 230 Β· πŸ“‹ 400 - 13% open Β· ⏱️ 08.11.2024): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 780 Β· πŸ“¦ 240 Β· πŸ“‹ 400 - 13% open Β· ⏱️ 07.12.2024): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 38K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2024): ``` pip install causalml ```
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avalanche (πŸ₯ˆ29 Β· ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT +
dstack (πŸ₯ˆ30 Β· ⭐ 1.6K) - dstack is a lightweight, open-source alternative to Kubernetes &.. MPL-2.0 -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 290 Β· πŸ“₯ 43 Β· πŸ“¦ 110 Β· πŸ“‹ 820 - 12% open Β· ⏱️ 29.10.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 160 Β· πŸ“¦ 17 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 12.12.2024): ``` - git clone https://github.com/ContinualAI/avalanche + git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.7K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 11K / month Β· ⏱️ 12.12.2024): ``` - pip install avalanche-lib + pip install dstack ```
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pyclustering (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 +
TabPy (πŸ₯ˆ30 Β· ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 640 Β· πŸ“¦ 770 Β· πŸ“‹ 670 - 11% open Β· ⏱️ 08.02.2024): +- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 600 Β· πŸ“¦ 190 Β· πŸ“‹ 320 - 6% open Β· ⏱️ 25.11.2024): ``` - git clone https://github.com/annoviko/pyclustering + git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 30K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 8.1K / month Β· πŸ“¦ 2 Β· ⏱️ 25.11.2024): ``` - pip install pyclustering + pip install tabpy ``` -- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 97K Β· ⏱️ 08.11.2024): +- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.7K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pyclustering + conda install -c anaconda tabpy-client ```
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anomalib (πŸ₯‰27 Β· ⭐ 3.9K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 +
anomalib (πŸ₯ˆ29 Β· ⭐ 3.9K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 - [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 680 Β· πŸ“₯ 15K Β· πŸ“¦ 120 Β· πŸ“‹ 950 - 15% open Β· ⏱️ 05.11.2024): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“¦ 5 Β· ⏱️ 31.10.2024): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 36K / month Β· πŸ“¦ 5 Β· ⏱️ 31.10.2024): ``` pip install anomalib ```
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TabPy (πŸ₯‰27 Β· ⭐ 1.6K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT +
avalanche (πŸ₯ˆ29 Β· ⭐ 1.8K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 600 Β· πŸ“¦ 190 Β· πŸ“‹ 320 - 6% open Β· ⏱️ 25.11.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 290 Β· πŸ“₯ 43 Β· πŸ“¦ 110 Β· πŸ“‹ 820 - 12% open Β· ⏱️ 29.10.2024): ``` - git clone https://github.com/tableau/TabPy - ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“¦ 2 Β· ⏱️ 25.11.2024): - ``` - pip install tabpy + git clone https://github.com/ContinualAI/avalanche ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 4.7K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 29.10.2024): ``` - conda install -c anaconda tabpy-client + pip install avalanche-lib ```
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Prince (πŸ₯‰26 Β· ⭐ 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT +
Trax (πŸ₯‰28 Β· ⭐ 8.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 640 Β· πŸ“‹ 130 - 0% open Β· ⏱️ 17.11.2024): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 810 Β· πŸ“¦ 190 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 10.09.2024): ``` - git clone https://github.com/MaxHalford/prince - ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“¦ 18 Β· ⏱️ 17.11.2024): - ``` - pip install prince + git clone https://github.com/google/trax ``` -- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.2K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` - conda install -c conda-forge prince-factor-analysis + pip install trax ```
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Trax (πŸ₯‰25 Β· ⭐ 8.1K) - Trax Deep Learning with Clear Code and Speed. Apache-2 +
pycm (πŸ₯‰28 Β· ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 810 Β· πŸ“¦ 190 Β· πŸ“‹ 250 - 49% open Β· ⏱️ 10.09.2024): +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 360 Β· πŸ“‹ 200 - 4% open Β· ⏱️ 15.10.2024): ``` - git clone https://github.com/google/trax + git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 45K / month Β· πŸ“¦ 24 Β· ⏱️ 17.10.2024): ``` - pip install trax + pip install pycm ```
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AugLy (πŸ₯‰25 Β· ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT +
Prince (πŸ₯‰28 Β· ⭐ 1.3K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 300 Β· πŸ“¦ 150 Β· πŸ“‹ 78 - 30% open Β· ⏱️ 21.11.2024): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 640 Β· πŸ“‹ 130 - 0% open Β· ⏱️ 17.11.2024): ``` - git clone https://github.com/facebookresearch/AugLy + git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.9K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 150K / month Β· πŸ“¦ 18 Β· ⏱️ 17.11.2024): ``` - pip install augly + pip install prince + ``` +- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (πŸ“₯ 22K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge prince-factor-analysis ```
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kmodes (πŸ₯‰25 Β· ⭐ 1.2K Β· πŸ’€) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
kmodes (πŸ₯‰28 Β· ⭐ 1.2K Β· πŸ’€) - Python implementations of the k-modes and k-prototypes clustering.. MIT - [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 420 Β· πŸ“¦ 2.9K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“¦ 38 Β· ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 220K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): ``` pip install kmodes ``` @@ -7838,66 +7822,54 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge kmodes ```
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pycm (πŸ₯‰24 Β· ⭐ 1.5K) - Multi-class confusion matrix library in Python. MIT - -- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 350 Β· πŸ“‹ 200 - 4% open Β· ⏱️ 15.10.2024): - - ``` - git clone https://github.com/sepandhaghighi/pycm - ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“¦ 24 Β· ⏱️ 17.10.2024): - ``` - pip install pycm - ``` -
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metric-learn (πŸ₯‰24 Β· ⭐ 1.4K) - Metric learning algorithms in Python. MIT +
pyclustering (πŸ₯‰28 Β· ⭐ 1.2K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 420 Β· πŸ“‹ 170 - 30% open Β· ⏱️ 03.08.2024): +- [GitHub](https://github.com/annoviko/pyclustering) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 250 Β· πŸ“₯ 650 Β· πŸ“¦ 780 Β· πŸ“‹ 670 - 11% open Β· ⏱️ 08.02.2024): ``` - git clone https://github.com/scikit-learn-contrib/metric-learn + git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“¦ 7 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 27K / month Β· πŸ“¦ 32 Β· ⏱️ 25.11.2020): ``` - pip install metric-learn + pip install pyclustering ``` -- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 14K Β· ⏱️ 09.10.2023): +- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 98K Β· ⏱️ 08.11.2024): ``` - conda install -c conda-forge metric-learn + conda install -c conda-forge pyclustering ```
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MONAILabel (πŸ₯‰24 Β· ⭐ 630) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
adapter-transformers (πŸ₯‰27 Β· ⭐ 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“₯ 100K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 350 Β· πŸ“¦ 130 Β· πŸ“‹ 390 - 11% open Β· ⏱️ 02.12.2024): ``` - git clone https://github.com/Project-MONAI/MONAILabel + git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 9.2K / month Β· πŸ“¦ 12 Β· ⏱️ 07.07.2024): ``` - pip install monailabel-weekly + pip install adapter-transformers ```
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adapter-transformers (πŸ₯‰23 Β· ⭐ 2.6K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface +
AugLy (πŸ₯‰25 Β· ⭐ 5K) - A data augmentations library for audio, image, text, and video. MIT -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 350 Β· πŸ“¦ 130 Β· πŸ“‹ 390 - 11% open Β· ⏱️ 02.12.2024): +- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 300 Β· πŸ“¦ 150 Β· πŸ“‹ 78 - 30% open Β· ⏱️ 21.11.2024): ``` - git clone https://github.com/Adapter-Hub/adapter-transformers + git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“¦ 12 Β· ⏱️ 07.07.2024): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 3K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` - pip install adapter-transformers + pip install augly ```
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Feature Engine (πŸ₯‰23 Β· ⭐ 1.9K) - Feature engineering package with sklearn like functionality. BSD-3 +
Feature Engine (πŸ₯‰25 Β· ⭐ 1.9K) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 310 Β· ⏱️ 31.08.2024): ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“¦ 170 Β· ⏱️ 03.11.2024): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 260K / month Β· πŸ“¦ 170 Β· ⏱️ 03.11.2024): ``` pip install feature_engine ``` @@ -7906,6 +7878,34 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge feature_engine ```
+
metric-learn (πŸ₯‰25 Β· ⭐ 1.4K) - Metric learning algorithms in Python. MIT + +- [GitHub](https://github.com/scikit-learn-contrib/metric-learn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 420 Β· πŸ“‹ 170 - 30% open Β· ⏱️ 03.08.2024): + + ``` + git clone https://github.com/scikit-learn-contrib/metric-learn + ``` +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 5.7K / month Β· πŸ“¦ 7 Β· ⏱️ 09.10.2023): + ``` + pip install metric-learn + ``` +- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 14K Β· ⏱️ 09.10.2023): + ``` + conda install -c conda-forge metric-learn + ``` +
+
MONAILabel (πŸ₯‰24 Β· ⭐ 630) - MONAI Label is an intelligent open source image labeling and.. Apache-2 + +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 200 Β· πŸ“₯ 110K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 10.12.2024): + + ``` + git clone https://github.com/Project-MONAI/MONAILabel + ``` +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 2.6K / month Β· ⏱️ 01.10.2023): + ``` + pip install monailabel-weekly + ``` +
AstroML (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ’€) - Machine learning, statistics, and data mining for astronomy.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 04.01.2024): @@ -7913,7 +7913,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“¦ 16 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 2.1K / month Β· πŸ“¦ 16 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -7922,14 +7922,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
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BioPandas (πŸ₯‰22 Β· ⭐ 720) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰23 Β· ⭐ 720) - Working with molecular structures in pandas DataFrames. BSD-3 -- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 310 Β· πŸ“‹ 59 - 35% open Β· ⏱️ 01.08.2024): +- [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 320 Β· πŸ“‹ 59 - 35% open Β· ⏱️ 01.08.2024): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“¦ 38 Β· ⏱️ 01.08.2024): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 20K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2024): ``` pip install biopandas ``` @@ -7938,62 +7938,62 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ```
+
SUOD (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 + +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 49 Β· πŸ“¦ 540 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 08.02.2024): + + ``` + git clone https://github.com/yzhao062/SUOD + ``` +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 66K / month Β· πŸ“¦ 8 Β· ⏱️ 08.02.2024): + ``` + pip install suod + ``` +
benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.8K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 35 Β· πŸ“‹ 66 - 36% open Β· ⏱️ 17.07.2024): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 160 Β· πŸ“¦ 35 Β· πŸ“‹ 67 - 35% open Β· ⏱️ 17.07.2024): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 1.2K / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 1.4K / month Β· ⏱️ 06.09.2023): ``` pip install pythae ```
pymdp (πŸ₯‰20 Β· ⭐ 480) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 91 Β· πŸ“¦ 14 Β· πŸ“‹ 45 - 40% open Β· ⏱️ 26.11.2024): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 92 Β· πŸ“¦ 14 Β· πŸ“‹ 45 - 40% open Β· ⏱️ 26.11.2024): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 16K / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 12K / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ```
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pykale (πŸ₯‰19 Β· ⭐ 440) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT +
pykale (πŸ₯‰20 Β· ⭐ 440) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT - [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 64 Β· πŸ“¦ 5 Β· πŸ“‹ 120 - 8% open Β· ⏱️ 24.09.2024): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 370 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ```
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SUOD (πŸ₯‰17 Β· ⭐ 380 Β· πŸ’€) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 - -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 49 Β· πŸ“¦ 540 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 08.02.2024): - - ``` - git clone https://github.com/yzhao062/SUOD - ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“¦ 8 Β· ⏱️ 08.02.2024): - ``` - pip install suod - ``` -
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NeuralCompression (πŸ₯‰13 Β· ⭐ 510) - A collection of tools for neural compression enthusiasts. MIT +
NeuralCompression (πŸ₯‰15 Β· ⭐ 520) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 43 Β· πŸ“‹ 71 - 8% open Β· ⏱️ 20.09.2024): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 42 Β· πŸ“‹ 71 - 8% open Β· ⏱️ 20.09.2024): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 200 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ``` @@ -8002,26 +8002,26 @@ _Libraries for connecting to, operating, and querying databases._ - cleanlab (πŸ₯ˆ30 Β· ⭐ 9.8K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - Cython BLIS (πŸ₯ˆ30 Β· ⭐ 220) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 -- alibi-detect (πŸ₯ˆ28 Β· ⭐ 2.3K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel -- modAL (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - A modular active learning framework for Python. MIT -- pysc2 (πŸ₯‰27 Β· ⭐ 8K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 +- alibi-detect (πŸ₯ˆ29 Β· ⭐ 2.3K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel +- pysc2 (πŸ₯‰28 Β· ⭐ 8K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 +- modAL (πŸ₯‰28 Β· ⭐ 2.2K Β· πŸ’€) - A modular active learning framework for Python. MIT - gplearn (πŸ₯‰27 Β· ⭐ 1.6K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- minisom (πŸ₯‰26 Β· ⭐ 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 +- minisom (πŸ₯‰27 Β· ⭐ 1.5K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 +- PySwarms (πŸ₯‰27 Β· ⭐ 1.3K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT - metricflow (πŸ₯‰25 Β· ⭐ 1.2K) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - Mars (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- PySwarms (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT +- findspark (πŸ₯‰24 Β· ⭐ 510 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - pandas-ai (πŸ₯‰22 Β· ⭐ 14K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. ❗Unlicensed - opyrator (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT - mlens (πŸ₯‰22 Β· ⭐ 850 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT - vecstack (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT -- findspark (πŸ₯‰22 Β· ⭐ 510 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 +- impyute (πŸ₯‰21 Β· ⭐ 360 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - StreamAlert (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 +- rrcf (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +- apricot (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - baikal (πŸ₯‰19 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 -- scikit-rebate (πŸ₯‰18 Β· ⭐ 410 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT -- impyute (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT -- rrcf (πŸ₯‰17 Β· ⭐ 500 Β· πŸ’€) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT +- scikit-rebate (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT - KD-Lib (πŸ₯‰16 Β· ⭐ 610 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT -- apricot (πŸ₯‰16 Β· ⭐ 500 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT - pandas-ml (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - nylon (πŸ₯‰14 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT - traingenerator (πŸ₯‰13 Β· ⭐ 1.4K Β· πŸ’€) - A web app to generate template code for machine learning. MIT diff --git a/history/2024-12-12_changes.md b/history/2024-12-12_changes.md new file mode 100644 index 0000000..87c42c2 --- /dev/null +++ b/history/2024-12-12_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- CuPy (πŸ₯‡39 Β· ⭐ 9.6K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT +- pyecharts (πŸ₯ˆ38 Β· ⭐ 15K Β· πŸ“ˆ) - Python Echarts Plotting Library. MIT +- espnet (πŸ₯‡38 Β· ⭐ 8.6K Β· πŸ“ˆ) - End-to-End Speech Processing Toolkit. Apache-2 +- FiftyOne (πŸ₯ˆ37 Β· ⭐ 9K Β· πŸ“ˆ) - Visualize, create, and debug image and video datasets.. Apache-2 +- MMDetection (πŸ₯ˆ36 Β· ⭐ 30K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 +- torchaudio (πŸ₯ˆ35 Β· ⭐ 2.6K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 +- torchtext (πŸ₯ˆ33 Β· ⭐ 3.5K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 +- TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 710 Β· πŸ“ˆ) - Dataset, streaming, and file system extensions.. Apache-2 +- layout-parser (πŸ₯‰28 Β· ⭐ 5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +- quinn (πŸ₯‰26 Β· ⭐ 650 Β· πŸ“ˆ) - pyspark methods to enhance developer productivity. Apache-2 + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- Catboost (πŸ₯ˆ42 Β· ⭐ 8.1K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 +- speechbrain (πŸ₯‡39 Β· ⭐ 9K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 +- ivy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“‰) - Convert Machine Learning Code Between Frameworks. ❗️Intel-ACPI +- Bayesian Optimization (πŸ₯‡32 Β· ⭐ 8K Β· πŸ“‰) - A Python implementation of global optimization with.. MIT +- stanza (πŸ₯ˆ32 Β· ⭐ 7.3K Β· πŸ“‰) - Stanford NLP Python library for tokenization, sentence.. Apache-2 +- librosa (πŸ₯ˆ31 Β· ⭐ 7.2K Β· πŸ“‰) - Python library for audio and music analysis. ISC +- PyKEEN (πŸ₯ˆ31 Β· ⭐ 1.7K Β· πŸ“‰) - A Python library for learning and evaluating knowledge graph embeddings. MIT +- SALib (πŸ₯ˆ31 Β· ⭐ 890 Β· πŸ“‰) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST,.. MIT +- DIPY (πŸ₯ˆ31 Β· ⭐ 720 Β· πŸ“‰) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed +- evaluate (πŸ₯ˆ30 Β· ⭐ 2.1K Β· πŸ“‰) - Evaluate: A library for easily evaluating machine learning.. Apache-2 + diff --git a/history/2024-12-12_projects.csv b/history/2024-12-12_projects.csv new file mode 100644 index 0000000..2d048e4 --- /dev/null +++ b/history/2024-12-12_projects.csv @@ -0,0 +1,921 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,helm_id,trending,brew_id,apt_id,yum_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2024-10-29 08:34:20.000000,2024-10-29 08:34:20,1568.0,1.0,739.0,119.0,341.0,71.0,151.0,5010.0,Benchmarks of approximate nearest neighbor libraries in Python.,108.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2024-06-07 15:14:35.000000,2024-06-06 19:06:33,346.0,,173.0,58.0,205.0,,3.0,2354.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-06-06 19:06:38.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3735.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3735.0,Collection of database clients for python.,12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3735.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2024-08-14 02:31:07.000000,2024-08-14 02:31:07,360.0,,257.0,96.0,199.0,7.0,6.0,3735.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-06-06 14:07:12.000,2024.06.06,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-12-12 14:17:30.000000,2024-12-12 13:55:54,173413.0,3806.0,74360.0,7556.0,41094.0,6058.0,39076.0,189441.0,An Open Source Machine Learning Framework for Everyone.,4738.0,56,True,2024-10-25 00:14:11.000,2.18.0,202.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],448626.0,440549.0,https://pypi.org/project/tensorflow,2024-10-25 00:14:11.000,8077.0,23724374.0,24543143.0,https://anaconda.org/conda-forge/tensorflow,2024-10-17 06:34:48.464,5156596.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-12-12 13:48:21.835496,2637.0,78640776.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-12-12 14:16:38.000000,2024-12-12 12:26:45,82158.0,3707.0,22762.0,1745.0,95116.0,15619.0,32748.0,84940.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,5310.0,55,True,2024-10-29 17:58:24.000,2.5.1,57.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],610831.0,590972.0,https://pypi.org/project/torch,2024-10-29 17:32:42.000,19859.0,34205483.0,34845921.0,https://anaconda.org/pytorch/pytorch,2024-10-28 23:02:38.194,24950172.0,,,,,1.0,68388.0,,,,,,,,,,,,,,,,,,, +8,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2024-12-12 14:15:40.000000,2024-12-12 14:15:39,31994.0,307.0,25450.0,2143.0,18119.0,2082.0,9741.0,60426.0,scikit-learn: machine learning in Python.,3229.0,53,True,2024-12-09 18:30:05.000,1.6.0,83.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],1010572.0,984334.0,https://pypi.org/project/scikit-learn,2024-12-09 16:01:02.000,26238.0,80932796.0,81527885.0,https://anaconda.org/conda-forge/scikit-learn,2024-12-09 17:45:36.628,32729409.0,,,,,1.0,1034.0,,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-12-12 14:23:10.000000,2024-12-12 14:07:06,17563.0,741.0,27279.0,1122.0,18415.0,1488.0,15329.0,136194.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2964.0,52,True,2024-12-05 17:45:28.000,4.47.0,165.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",261569.0,254609.0,https://pypi.org/project/transformers,2024-12-05 17:29:27.000,6960.0,47463760.0,47507412.0,https://anaconda.org/conda-forge/transformers,2024-12-11 20:16:17.177,2313556.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-12-12 14:33:53.000000,2024-12-12 14:33:53,34094.0,582.0,5190.0,350.0,11581.0,1748.0,9015.0,13184.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1718.0,50,True,2024-08-21 00:10:50.000,1.14.1,108.0,scipy,conda-forge/scipy,,,,1216204.0,1170328.0,https://pypi.org/project/scipy,2024-08-21 00:03:32.000,45876.0,124919999.0,126056166.0,https://anaconda.org/conda-forge/scipy,2024-12-08 23:50:50.522,55482988.0,,,,,1.0,436409.0,,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-12-09 22:44:26.000000,2024-12-09 22:44:26,59267.0,386.0,4458.0,292.0,13547.0,5148.0,8940.0,13091.0,A computer algebra system written in pure Python.,1343.0,49,True,2024-09-18 21:54:45.000,1.13.3,64.0,sympy,conda-forge/sympy,,,,201970.0,198470.0,https://pypi.org/project/sympy,2024-09-18 21:54:23.000,3500.0,32397976.0,32535123.0,https://anaconda.org/conda-forge/sympy,2024-10-09 14:38:28.134,7321482.0,,,,,1.0,552119.0,,,,,,,,,,,,,,,,,,, +12,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-12-12 03:28:52.000000,2024-12-12 03:28:50,11219.0,264.0,19487.0,1914.0,7640.0,268.0,12011.0,62188.0,Deep Learning for humans.,1355.0,48,True,2024-11-26 17:04:02.000,3.7.0,104.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1654.0,,https://pypi.org/project/keras,2024-11-26 17:04:02.000,1654.0,14816875.0,14888030.0,https://anaconda.org/conda-forge/keras,2024-12-10 19:57:35.430,3842422.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +13,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-12-12 12:55:37.000000,2024-12-12 12:55:37,51455.0,416.0,7674.0,593.0,18650.0,1602.0,9385.0,20438.0,matplotlib: plotting with Python.,1758.0,48,True,2024-11-30 10:15:10.000,3.9.3,129.0,matplotlib,conda-forge/matplotlib,,,,1508345.0,1456023.0,https://pypi.org/project/matplotlib,2024-11-30 10:14:04.000,52322.0,74235379.0,74740160.0,https://anaconda.org/conda-forge/matplotlib,2024-12-06 23:19:57.917,27258197.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-12-10 07:29:31.000000,2024-12-10 07:29:30,18882.0,359.0,2235.0,219.0,5192.0,137.0,3122.0,12389.0,Python Imaging Library (Fork).,482.0,48,True,2024-10-15 14:29:17.000,11.0.0,99.0,Pillow,conda-forge/pillow,,,,1965582.0,1956687.0,https://pypi.org/project/Pillow,2024-10-15 14:21:49.000,8895.0,127309369.0,128202533.0,https://anaconda.org/conda-forge/pillow,2024-10-18 22:08:55.292,47337692.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-12-12 14:33:12.000000,2024-12-11 23:29:00,6886.0,251.0,3119.0,319.0,5198.0,982.0,3761.0,36142.0,Streamlit A faster way to build and share data apps.,252.0,46,True,2024-12-10 19:37:01.000,1.41.0,232.0,streamlit,,,,,625428.0,622436.0,https://pypi.org/project/streamlit,2024-12-10 19:36:51.000,2992.0,8060282.0,8060282.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +16,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-12-12 07:14:40.000000,2024-12-12 07:14:38,23282.0,655.0,5840.0,478.0,29876.0,4262.0,15395.0,34399.0,Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML..,1114.0,46,True,2024-12-04 00:01:15.000,ray-2.40.0,120.0,ray,conda-forge/ray-tune,,,,20348.0,19528.0,https://pypi.org/project/ray,2024-12-03 23:45:31.000,820.0,6378074.0,6388265.0,https://anaconda.org/conda-forge/ray-tune,2024-12-06 00:00:37.515,489101.0,,,,,1.0,247.0,,,,,,,,,,,,,,,,,,, +17,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-12-11 19:47:43.000000,2024-12-11 19:47:43,7251.0,166.0,8738.0,908.0,5742.0,454.0,4943.0,26393.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",655.0,46,True,2024-11-26 10:23:00.000,2.1.3,85.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,122815.0,120704.0,https://pypi.org/project/xgboost,2024-11-26 10:23:00.000,2111.0,25935860.0,26040438.0,https://anaconda.org/conda-forge/xgboost,2024-12-03 00:14:17.609,5537500.0,,,,,1.0,12557.0,,,,,,,,,,,,,,,,,,, +18,jax,google/jax,ml-frameworks,,https://github.com/jax-ml/jax,https://github.com/jax-ml/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-12-12 12:44:06.000000,2024-12-12 12:42:56,24622.0,1649.0,2833.0,336.0,16693.0,1453.0,4338.0,30742.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",803.0,45,True,2024-12-10 01:17:59.000,jax-v0.4.37,171.0,jax,conda-forge/jaxlib,,,,36142.0,34099.0,https://pypi.org/project/jax,2024-12-10 01:16:26.000,2043.0,4665078.0,4701309.0,https://anaconda.org/conda-forge/jaxlib,2024-12-12 03:36:57.455,1956483.0,,,,,1.0,,jax-ml/jax,,,,,,,,,,,,,,,,,, +19,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-12-11 13:14:18.000000,2024-12-11 12:08:40,16215.0,53.0,4417.0,561.0,4028.0,168.0,5522.0,30438.0,Industrial-strength Natural Language Processing (NLP) in Python.,762.0,45,True,2024-12-11 13:12:14.000,3.8.3,238.0,spacy,conda-forge/spacy,,,,110776.0,107938.0,https://pypi.org/project/spacy,2024-12-11 13:12:14.000,2838.0,15235937.0,15323085.0,https://anaconda.org/conda-forge/spacy,2024-11-24 12:28:01.906,4705409.0,,,,,1.0,914.0,,,,,,,,,,,,,,,,,,, +20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-12-12 13:12:56.000000,2024-12-12 13:12:56,52143.0,1240.0,5606.0,716.0,51474.0,1796.0,17504.0,22336.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1334.0,45,True,2024-09-13 08:31:46.000,2.6.2,71.0,paddlepaddle,,,,['paddle'],6736.0,6543.0,https://pypi.org/project/paddlepaddle,2024-11-01 08:33:35.000,193.0,318154.0,318308.0,,,,,,,,1.0,15416.0,,,,,,,,,,,,,,,,,,, +21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-12-11 18:30:03.000000,2024-12-11 16:35:19,20649.0,63.0,4188.0,438.0,6220.0,785.0,7004.0,19437.0,"Interactive Data Visualization in the browser, from Python.",703.0,45,True,2024-12-03 15:39:22.000,3.6.2,223.0,bokeh,conda-forge/bokeh,,,,97242.0,95447.0,https://pypi.org/project/bokeh,2024-12-03 23:43:55.000,1795.0,4373723.0,4660985.0,https://anaconda.org/conda-forge/bokeh,2024-12-09 14:35:07.548,15512187.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-12-12 14:11:28.000000,2024-12-12 14:11:28,7384.0,556.0,2558.0,276.0,1763.0,580.0,2490.0,16430.0,The interactive graphing library for Python This project now includes Plotly Express!.,281.0,45,True,2024-09-12 15:42:27.000,5.24.1,301.0,plotly,conda-forge/plotly,,,,343413.0,337084.0,https://pypi.org/project/plotly,2024-09-12 15:36:24.000,6320.0,21491596.0,21639009.0,https://anaconda.org/conda-forge/plotly,2024-12-09 08:37:37.782,7733026.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,6813.0,,,,,,,,,,,,, +23,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-12-11 17:46:13.000000,2024-12-11 17:46:13,15616.0,121.0,2968.0,285.0,3964.0,2843.0,2808.0,10237.0,Statsmodels: statistical modeling and econometrics in Python.,447.0,45,True,2024-10-03 16:13:31.000,0.14.4,39.0,statsmodels,conda-forge/statsmodels,,,,150296.0,145827.0,https://pypi.org/project/statsmodels,2024-10-03 16:13:31.000,4469.0,16220257.0,16519969.0,https://anaconda.org/conda-forge/statsmodels,2024-10-03 20:40:26.151,16184452.0,,,,,1.0,35.0,,,,,,,,,,,,,,,,,,, +24,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-12-12 13:41:35.000000,2024-12-12 13:41:30,43001.0,825.0,28347.0,2023.0,49129.0,229.0,,40159.0,Apache Spark Python API.,3154.0,44,True,2024-10-25 08:14:53.000,3.4.4,49.0,pyspark,conda-forge/pyspark,,,['spark'],1574.0,,https://pypi.org/project/pyspark,2024-10-25 08:14:53.000,1574.0,31232811.0,31299080.0,https://anaconda.org/conda-forge/pyspark,2024-10-24 22:12:13.872,3578544.0,,,,,2.0,,,,,,,,stable/spark,,,,,,,,,,,, +25,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-12-12 11:22:03.000000,2024-12-11 20:47:15,7290.0,278.0,2611.0,177.0,4685.0,453.0,4667.0,34537.0,"Wrap UIs around any model, share with anyone.",467.0,44,True,2024-12-05 00:47:02.000,5.8.0,609.0,gradio,,,,,50190.0,49280.0,https://pypi.org/project/gradio,2024-12-05 00:47:02.000,910.0,6656009.0,6656009.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +26,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-12-11 12:09:05.000000,2024-12-11 12:09:05,10485.0,69.0,3399.0,252.0,10335.0,824.0,6342.0,28609.0,"Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.",989.0,44,True,2024-08-07 09:46:38.000,2.4.0,277.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],41042.0,39599.0,https://pypi.org/project/pytorch-lightning,2024-08-07 09:46:38.000,1443.0,7160268.0,7185819.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-08-07 15:45:27.965,1366199.0,,,,,2.0,10590.0,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,,,, +27,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-12-12 09:53:06.000000,2024-12-12 09:53:06,6925.0,458.0,4275.0,303.0,9780.0,1669.0,2641.0,18994.0,Open source platform for the machine learning lifecycle.,802.0,44,True,2024-12-11 12:49:06.000,2.19.0,121.0,mlflow,conda-forge/mlflow,,,,48591.0,47659.0,https://pypi.org/project/mlflow,2024-12-11 09:49:32.000,932.0,16106844.0,16154034.0,https://anaconda.org/conda-forge/mlflow,2024-12-12 05:57:45.831,2548312.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +28,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-12-11 12:11:38.000000,2024-12-11 12:11:38,7840.0,58.0,3253.0,279.0,3948.0,344.0,3045.0,15065.0,Network Analysis in Python.,756.0,44,True,2024-10-21 12:40:41.000,networkx-3.4.2,98.0,networkx,conda-forge/networkx,,,,335919.0,326289.0,https://pypi.org/project/networkx,2024-10-21 12:39:36.000,9630.0,70363183.0,70730466.0,https://anaconda.org/conda-forge/networkx,2024-11-13 18:04:48.334,19098755.0,,,,,1.0,76.0,,,,,,,,,,,,,,,,,,, +29,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-12-12 05:18:38.000000,2024-12-12 03:20:54,18610.0,924.0,1750.0,81.0,3261.0,902.0,3011.0,15044.0,"Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI,..",365.0,44,True,2024-12-09 17:31:48.000,1.54.1,1020.0,litellm,,,,others,5744.0,5142.0,https://pypi.org/project/litellm,2024-12-09 17:19:24.000,602.0,3515406.0,3515641.0,,,,,,,,1.0,470.0,,,,,,,,,,,,,,,,,,, +30,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-11-11 06:24:40.000000,2024-11-11 06:24:40,14683.0,4.0,2887.0,461.0,1497.0,276.0,1568.0,13690.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,462.0,44,True,2024-08-18 19:48:21.000,3.9.1,63.0,nltk,conda-forge/nltk,,,,334145.0,329448.0,https://pypi.org/project/nltk,2024-08-18 19:48:21.000,4697.0,24822957.0,24887874.0,https://anaconda.org/conda-forge/nltk,2024-08-18 23:14:52.073,2921308.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +31,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-12-12 13:36:37.000000,2024-12-12 13:36:37,8426.0,110.0,1718.0,213.0,6077.0,1101.0,4314.0,12680.0,Parallel computing with task scheduling.,613.0,44,True,2024-12-03 22:42:53.000,2024.12.0,213.0,dask,conda-forge/dask,,,,70286.0,67763.0,https://pypi.org/project/dask,2024-12-03 22:42:53.000,2523.0,16199806.0,16424521.0,https://anaconda.org/conda-forge/dask,2024-12-04 03:07:03.414,12359360.0,,,,,1.0,,,,,,,,stable/dask,,,,,,,,,,,, +32,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-12-11 17:57:01.000000,2024-12-11 17:57:01,7769.0,93.0,2077.0,427.0,1165.0,495.0,1374.0,21640.0,Data Apps & Dashboards for Python. No JavaScript Required.,169.0,43,True,2024-11-04 21:17:37.000,2.18.2,182.0,dash,conda-forge/dash,,,,75099.0,73752.0,https://pypi.org/project/dash,2024-11-04 21:12:56.000,1347.0,4582236.0,4611703.0,https://anaconda.org/conda-forge/dash,2024-12-04 07:17:49.795,1591192.0,,,,,1.0,87.0,,,,,,,,,,,,,,,,,,, +33,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-12-11 01:13:47.000000,2024-12-11 00:52:31,2927.0,110.0,3684.0,437.0,3479.0,350.0,2561.0,18072.0,Open standard for machine learning interoperability.,327.0,43,True,2024-10-01 21:45:45.000,1.17.0,35.0,onnx,conda-forge/onnx,,,,38222.0,37169.0,https://pypi.org/project/onnx,2024-10-01 21:45:45.000,1053.0,6583246.0,6608871.0,https://anaconda.org/conda-forge/onnx,2024-10-21 21:30:32.889,1369709.0,,,,,1.0,22471.0,,,,,,,,,,,,,,,,,,, +34,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-12-12 06:43:58.000000,2024-12-12 03:40:37,3610.0,44.0,3834.0,435.0,3301.0,375.0,3082.0,16768.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",322.0,43,True,2024-07-26 14:38:57.000,4.5.0,38.0,lightgbm,conda-forge/lightgbm,,,,42361.0,41284.0,https://pypi.org/project/lightgbm,2024-07-26 14:38:57.000,1077.0,11098304.0,11158166.0,https://anaconda.org/conda-forge/lightgbm,2024-10-10 08:17:38.424,2919222.0,,,,,2.0,241327.0,,,,,,,,,,,,,,,,,,, +35,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2024-12-12 14:06:08.000000,2024-12-12 07:44:59,3083.0,398.0,1651.0,196.0,3711.0,666.0,872.0,13662.0,Development repository for the Triton language and compiler.,347.0,43,True,2024-10-14 16:05:32.000,3.1.0,196.0,triton,,,,,46237.0,45972.0,https://pypi.org/project/triton,2024-10-14 16:05:32.000,265.0,15720650.0,15720650.0,,,,,,,,1.0,,triton-lang/triton,,,,,,,,,,,,,,,,,, +36,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-12-12 06:01:33.000000,2024-12-11 18:47:20,5029.0,50.0,2089.0,1667.0,4900.0,371.0,2739.0,12322.0,WebGL2 powered visualization framework.,276.0,43,True,2024-12-11 10:43:06.025,9.0.38,679.0,pydeck,conda-forge/pydeck,,,['jupyter'],8833.0,8406.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,120.0,7102522.0,7715695.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,658515.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-12-11 10:43:06.025,307.0,601820.0,,,,,,,,,,,,, +37,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2024-12-12 02:00:52.000000,2024-12-12 02:00:52,18639.0,406.0,1042.0,118.0,3783.0,64.0,1627.0,11071.0,A hyperparameter optimization framework.,283.0,43,True,2024-11-12 05:51:56.000,4.1.0,67.0,optuna,conda-forge/optuna,,,,20943.0,19908.0,https://pypi.org/project/optuna,2024-11-12 05:51:56.000,1035.0,4134759.0,4171483.0,https://anaconda.org/conda-forge/optuna,2024-11-13 05:15:17.167,1983130.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +38,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-12-02 18:58:23.000000,2024-12-02 16:01:53,3831.0,61.0,795.0,140.0,1532.0,199.0,1844.0,9438.0,Declarative visualization library for Python.,173.0,43,True,2024-11-24 00:12:10.000,5.5.0,43.0,altair,conda-forge/altair,,,,183915.0,182999.0,https://pypi.org/project/altair,2024-11-23 23:39:56.000,916.0,25404811.0,25475064.0,https://anaconda.org/conda-forge/altair,2024-11-24 00:36:17.006,2529041.0,,,,,1.0,213.0,vega/altair,,,,,,,,,,,,,,,,,, +39,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-12-11 00:12:40.000000,2024-12-11 00:12:40,5878.0,23.0,1657.0,189.0,5056.0,685.0,1241.0,6743.0,TensorFlows Visualization Toolkit.,322.0,43,True,2024-09-25 21:21:50.000,2.18.0,63.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],281174.0,278948.0,https://pypi.org/project/tensorboard,2024-09-25 21:21:50.000,2226.0,27423329.0,27519980.0,https://anaconda.org/conda-forge/tensorboard,2024-12-10 08:54:23.547,5219176.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +40,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2024-12-06 20:06:56.000000,2024-12-06 20:06:56,2601.0,145.0,4773.0,313.0,554.0,44.0,892.0,32579.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",161.0,42,True,2024-12-03 19:05:39.000,1.0.12,63.0,timm,conda-forge/timm,,,['pytorch'],43544.0,42537.0,https://pypi.org/project/timm,2024-12-03 18:46:09.000,1007.0,6048153.0,6162432.0,https://anaconda.org/conda-forge/timm,2024-12-04 15:48:02.472,280296.0,,,,,1.0,7302398.0,huggingface/pytorch-image-models,,,,,,,,,,,,,,,,,, +41,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-12-08 18:23:22.000000,2024-12-08 18:23:22,1373.0,76.0,2449.0,241.0,641.0,190.0,1215.0,15084.0,Download market data from Yahoo! Finances API.,128.0,42,True,2024-11-19 21:44:10.000,0.2.50,122.0,yfinance,ranaroussi/yfinance,,,,54496.0,53788.0,https://pypi.org/project/yfinance,2024-11-19 21:44:10.000,708.0,3638836.0,3641211.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,97401.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +42,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-12-09 07:42:09.249000,2024-07-22 11:32:48,3237.0,,1929.0,263.0,1127.0,185.0,2431.0,12664.0,Statistical data visualization in Python.,213.0,42,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,533159.0,522316.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,10843.0,20268021.0,20472171.0,https://anaconda.org/conda-forge/seaborn,2024-12-09 07:42:09.249,11023946.0,,,,,1.0,457.0,,,,,,,,,,,,,,,,,,, +43,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-12-12 04:13:22.000000,2024-12-12 04:13:21,7444.0,466.0,679.0,62.0,5639.0,599.0,2822.0,9251.0,"The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation..",201.0,42,True,2024-12-05 03:02:58.000,0.19.0,296.0,wandb,conda-forge/wandb,,,,62133.0,60573.0,https://pypi.org/project/wandb,2024-12-12 02:34:04.000,1560.0,18305728.0,18320623.0,https://anaconda.org/conda-forge/wandb,2024-12-11 01:44:50.392,789023.0,,,,,1.0,390.0,wandb/wandb,,,,,,,,,,,,,,,,,, +44,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-12-12 11:27:55.000000,2024-12-12 11:19:10,48887.0,326.0,1189.0,191.0,402.0,575.0,1792.0,8138.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1295.0,42,True,2024-12-07 11:22:32.000,node-package-v1.26.0,113.0,catboost,conda-forge/catboost,,,,550.0,15.0,https://pypi.org/project/catboost,2024-09-07 16:51:57.000,535.0,3687371.0,3727895.0,https://anaconda.org/conda-forge/catboost,2024-09-07 21:05:39.027,1799199.0,,,,,2.0,331133.0,,,,,,,,-1.0,,,,,,,,,,, +45,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-12-12 08:02:56.000000,2024-12-12 08:02:56,6375.0,92.0,7849.0,444.0,3184.0,169.0,9270.0,44977.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",266.0,41,True,2024-10-22 05:57:58.000,2.9.1,48.0,paddleocr,,,,['paddle'],3968.0,3860.0,https://pypi.org/project/paddleocr,2024-10-22 05:57:58.000,108.0,373128.0,389844.0,,,,,,,,1.0,852533.0,,,,,,,,,,,,,,,,,,, +46,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-12-12 01:07:14.000000,2024-12-12 00:48:18,2606.0,127.0,4149.0,345.0,3090.0,1106.0,1897.0,35843.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",360.0,41,True,2024-12-05 21:47:00.000,0.16.1,100.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],10251.0,10019.0,https://pypi.org/project/deepspeed,2024-12-05 21:47:00.000,232.0,558861.0,559212.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,20750.0,1.0,,,,,,,,,,,,,,,,,,,, +47,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-12-12 00:23:26.000000,2024-12-10 22:57:35,1340.0,108.0,3649.0,480.0,1306.0,254.0,2315.0,31903.0,A library for efficient similarity search and clustering of dense vectors.,198.0,41,True,2024-11-26 08:17:49.000,2.4.10,105.0,pymilvus,conda-forge/faiss,,,,4418.0,4230.0,https://pypi.org/project/pymilvus,2024-11-26 08:17:49.000,188.0,1452183.0,1488203.0,https://anaconda.org/conda-forge/faiss,2024-08-09 18:17:48.122,1945083.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +48,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-12-12 14:20:10.318271,2024-12-12 13:42:42,21427.0,686.0,2950.0,285.0,23557.0,766.0,11657.0,31321.0,"A cloud-native vector database, storage for next generation AI applications.",297.0,41,True,2024-11-26 08:17:49.000,2.4.10,105.0,pymilvus,,milvusdb/milvus,,,188.0,,https://pypi.org/project/pymilvus,2024-11-26 08:17:49.000,188.0,1452183.0,2522919.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-12-12 14:20:10.318271,66.0,67162985.0,1.0,288763.0,,,,,,,,,,,,,,,,,,, +49,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-11-17 08:15:57.000000,2024-11-17 08:15:54,2800.0,11.0,7565.0,603.0,2237.0,226.0,1594.0,26384.0,The fastai deep learning library.,670.0,41,True,2024-10-19 03:20:25.000,2.7.18,152.0,fastai,,,,['pytorch'],20165.0,19857.0,https://pypi.org/project/fastai,2024-10-19 03:20:25.000,308.0,582460.0,582460.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +50,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-12-12 07:16:59.000000,2024-12-12 07:16:55,2779.0,19.0,3289.0,245.0,991.0,716.0,1837.0,23067.0,A game theoretic approach to explain the output of any machine learning model.,253.0,41,True,2024-06-27 10:16:34.000,0.46.0,104.0,shap,conda-forge/shap,,,,23669.0,22921.0,https://pypi.org/project/shap,2024-06-27 10:16:34.000,748.0,7125521.0,7219596.0,https://anaconda.org/conda-forge/shap,2024-12-10 12:59:40.676,4515631.0,,,,,1.0,,shap/shap,,,,,,,,,,,,,,,,,, +51,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2024-12-12 01:50:45.000000,2024-12-11 08:25:58,7664.0,46.0,3692.0,253.0,3201.0,1071.0,2676.0,21563.0,Graph Neural Network Library for PyTorch.,531.0,41,True,2024-09-26 08:11:27.000,2.6.1,46.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],7555.0,7200.0,https://pypi.org/project/torch-geometric,2024-09-26 08:11:27.000,355.0,475780.0,478172.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-09-26 16:16:39.995,126822.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +52,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-12-12 13:03:26.000000,2024-12-12 12:51:53,3978.0,39.0,6966.0,442.0,5461.0,1048.0,2482.0,16359.0,"Datasets, Transforms and Models specific to Computer Vision.",616.0,41,True,2024-10-29 17:40:34.000,0.20.1,49.0,torchvision,conda-forge/torchvision,,,['pytorch'],5875.0,21.0,https://pypi.org/project/torchvision,2024-10-29 17:40:34.000,5854.0,16324396.0,16367585.0,https://anaconda.org/conda-forge/torchvision,2024-11-05 11:38:14.193,1924255.0,,,,,1.0,39453.0,,,,,,,,,,,,,,,,,,, +53,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-12-12 10:58:52.000000,2024-12-12 10:58:51,1616.0,70.0,2496.0,143.0,613.0,1193.0,1070.0,15548.0,State-of-the-Art Text Embeddings.,199.0,41,True,2024-11-18 14:38:20.000,3.3.1,59.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],61352.0,59515.0,https://pypi.org/project/sentence-transformers,2024-11-18 14:37:38.000,1837.0,7810745.0,7820319.0,https://anaconda.org/conda-forge/sentence-transformers,2024-11-18 19:12:20.997,488295.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +54,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-12-12 02:08:44.000000,2024-12-12 02:08:41,1120.0,135.0,1645.0,128.0,1030.0,168.0,948.0,14380.0,Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125.,153.0,41,True,2024-12-06 21:42:39.000,1.4.22,77.0,albumentations,conda-forge/albumentations,,,['pytorch'],30546.0,29937.0,https://pypi.org/project/albumentations,2024-12-06 21:42:39.000,609.0,5274387.0,5278413.0,https://anaconda.org/conda-forge/albumentations,2024-09-22 17:25:30.224,213393.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-12-10 08:08:18.000000,2024-12-10 08:08:15,9368.0,37.0,1191.0,134.0,5548.0,239.0,4488.0,14009.0,Data Versioning and ML Experiments.,307.0,41,True,2024-12-01 16:53:49.000,3.58.0,541.0,dvc,conda-forge/dvc,,,,19735.0,19601.0,https://pypi.org/project/dvc,2024-12-01 16:53:49.000,134.0,555778.0,600742.0,https://anaconda.org/conda-forge/dvc,2024-12-01 20:24:37.522,2428108.0,,,,,1.0,,,,,,,,,,dvc,dvc,dvc,,,,,,,, +56,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-12-05 16:37:31.000000,2024-12-05 16:35:57,1267.0,79.0,1583.0,254.0,706.0,498.0,1069.0,12707.0,Video editing with Python.,168.0,41,True,2024-11-25 04:33:19.000,2.1.1,88.0,moviepy,conda-forge/moviepy,,,,51238.0,50233.0,https://pypi.org/project/moviepy,2024-11-25 04:33:19.000,1005.0,2096706.0,2099827.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,277846.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +57,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-12-11 09:07:09.000000,2024-12-11 09:07:09,10146.0,103.0,2025.0,226.0,4115.0,325.0,3080.0,8772.0,Bayesian Modeling and Probabilistic Programming in Python.,507.0,41,True,2024-12-05 17:01:07.000,5.19.1,95.0,pymc3,conda-forge/pymc3,,,,5123.0,4931.0,https://pypi.org/project/pymc3,2024-05-31 12:35:21.000,192.0,281858.0,293380.0,https://anaconda.org/conda-forge/pymc3,2024-06-02 18:14:42.309,621353.0,,,,,1.0,1961.0,,,,,,,,,,,,,,,,,,, +58,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-12-11 14:14:46.000000,2024-12-11 14:14:45,14223.0,113.0,2240.0,186.0,4546.0,808.0,2125.0,6116.0,Image processing in Python.,677.0,41,False,2024-06-18 19:05:37.000,0.24.0,70.0,scikit-image,conda-forge/scikit-image,,,,213321.0,206653.0,https://pypi.org/project/scikit-image,2024-12-10 19:45:48.000,6668.0,14038143.0,14172647.0,https://anaconda.org/conda-forge/scikit-image,2024-11-09 20:51:08.980,7263227.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2024-12-12 07:28:07.000000,2024-12-12 07:28:06,3998.0,159.0,1134.0,136.0,3247.0,337.0,1207.0,2108.0,A library for training and deploying machine learning models on Amazon SageMaker.,464.0,41,True,2024-12-05 03:00:39.000,2.237.0,615.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",5093.0,4936.0,https://pypi.org/project/sagemaker,2024-12-05 03:00:39.000,157.0,24415572.0,24439200.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-07-31 06:30:51.886,1228680.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +60,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-10-11 20:07:05.000000,2023-01-30 18:15:21,1757.0,,8614.0,1061.0,1458.0,121.0,1724.0,34966.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,61366.0,59818.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1548.0,2626323.0,2632384.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,339421.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +61,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-12-08 10:22:13.000000,2024-12-06 20:48:03,6457.0,314.0,2104.0,205.0,1245.0,119.0,2230.0,13984.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,274.0,40,True,2024-07-25 12:21:58.000,0.14.0,33.0,flair,conda-forge/python-flair,,,['pytorch'],3818.0,3673.0,https://pypi.org/project/flair,2024-07-25 12:15:28.000,145.0,97717.0,98376.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,34934.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +62,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-11-18 11:53:59.000000,2024-11-18 11:53:59,8288.0,11.0,3366.0,479.0,727.0,53.0,2184.0,13620.0,A toolkit for making real world machine learning and data analysis applications in C++.,197.0,40,False,2024-08-09 19:26:11.000,19.24.6,39.0,dlib,conda-forge/dlib,,,,32614.0,32401.0,https://pypi.org/project/dlib,2024-08-09 19:21:06.000,213.0,177654.0,195569.0,https://anaconda.org/conda-forge/dlib,2024-09-11 22:57:26.780,955335.0,,,,,2.0,25544.0,,,,,,,,,,,,,,,,,,, +63,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-11-27 19:20:00.476000,2024-11-27 15:01:48,1846.0,33.0,807.0,122.0,672.0,58.0,959.0,9148.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,101.0,40,True,2024-11-27 13:11:07.000,0.21.0,108.0,tokenizers,conda-forge/tokenizers,,,,122746.0,121650.0,https://pypi.org/project/tokenizers,2024-11-27 13:11:07.000,1096.0,35696498.0,35740460.0,https://anaconda.org/conda-forge/tokenizers,2024-11-27 19:20:00.476,2329940.0,,,,,1.0,69.0,,,,,,,,,,,,,,,,,,, +64,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-12-11 15:00:48.000000,2024-12-11 15:00:45,1635.0,69.0,984.0,97.0,1619.0,115.0,1558.0,8047.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",307.0,40,True,2024-12-06 16:10:37.000,1.2.0,65.0,accelerate,conda-forge/accelerate,,,['pytorch'],63835.0,62154.0,https://pypi.org/project/accelerate,2024-12-06 16:10:37.000,1681.0,8640316.0,8647117.0,https://anaconda.org/conda-forge/accelerate,2024-12-07 21:52:02.658,258457.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +65,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-12-03 08:34:38.000000,2024-12-03 08:34:38,2327.0,18.0,568.0,89.0,890.0,288.0,958.0,3942.0,Manipulation and analysis of geometric objects.,163.0,40,True,2024-08-19 21:56:13.000,2.0.6,125.0,shapely,conda-forge/shapely,,,,90717.0,87782.0,https://pypi.org/project/shapely,2024-08-19 21:56:13.000,2935.0,34127244.0,34335992.0,https://anaconda.org/conda-forge/shapely,2024-09-25 14:46:10.973,10849897.0,,,,,1.0,3723.0,,,,,,,,,,,,,,,,,,, +66,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-12-12 14:23:20.000000,2024-12-12 14:23:20,5948.0,60.0,720.0,57.0,5209.0,1576.0,2389.0,1582.0,A distributed task scheduler for Dask.,329.0,40,True,2024-12-03 22:42:56.000,2024.12.0,245.0,distributed,conda-forge/distributed,,,,38523.0,37639.0,https://pypi.org/project/distributed,2024-12-03 22:42:56.000,884.0,6303906.0,6590211.0,https://anaconda.org/conda-forge/distributed,2024-12-04 00:49:17.270,15746827.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-12-12 12:17:13.000000,2024-12-12 12:17:13,36206.0,400.0,13369.0,942.0,25776.0,1242.0,,24256.0,Apache Flink Python API.,1952.0,39,True,2024-06-14 14:43:26.000,1.19.1,49.0,apache-flink,,,,,56.0,21.0,https://pypi.org/project/apache-flink,2024-08-01 04:14:17.000,35.0,15019954.0,15019954.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +68,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-09-03 16:06:08.530000,2024-08-10 11:58:54,4534.0,,4379.0,430.0,1711.0,384.0,1465.0,15729.0,Topic Modelling for Humans.,458.0,39,True,2024-07-19 14:39:26.000,4.3.3,94.0,gensim,conda-forge/gensim,,,,69375.0,67998.0,https://pypi.org/project/gensim,2024-07-19 14:39:26.000,1377.0,4757992.0,4790281.0,https://anaconda.org/conda-forge/gensim,2024-09-03 16:06:08.530,1450917.0,,,,,1.0,5167.0,piskvorky/gensim,,,,,,,,,,,,,,,,,, +69,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-12-11 11:19:23.000000,2024-12-11 11:19:22,1700.0,67.0,2240.0,153.0,252.0,4.0,1136.0,15028.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",72.0,39,True,2024-08-17 07:30:49.000,0.0.93,92.0,deepface,,,,,4852.0,4808.0,https://pypi.org/project/deepface,2024-08-17 07:24:30.000,44.0,306351.0,306351.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +70,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-12-12 04:32:03.000000,2024-12-12 04:32:03,29341.0,261.0,856.0,127.0,6447.0,617.0,1798.0,9587.0,NumPy & SciPy for GPU.,398.0,39,True,2024-08-22 07:42:45.000,13.3.0,141.0,cupy,conda-forge/cupy,cupy/cupy,,,2655.0,2386.0,https://pypi.org/project/cupy,2024-08-22 07:08:16.000,269.0,76379.0,174070.0,https://anaconda.org/conda-forge/cupy,2024-10-18 20:21:57.477,5181491.0,https://hub.docker.com/r/cupy/cupy,2024-08-22 07:44:42.171252,13.0,71783.0,1.0,192052.0,,,,,,,,12.0,,,,,,,,,,, +71,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-12-09 18:31:50.000000,2024-12-09 18:31:50,10283.0,170.0,1404.0,134.0,1305.0,146.0,1010.0,9047.0,A PyTorch-based Speech Toolkit.,248.0,39,True,2024-10-31 10:06:07.000,1.0.2,18.0,speechbrain,,,,['pytorch'],2660.0,2593.0,https://pypi.org/project/speechbrain,2024-10-30 18:31:32.000,67.0,2878366.0,2878366.0,,,,,,,,1.0,,,,,,,,,-1.0,,,,,,,,,,, +72,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-12-12 11:03:10.000000,2024-12-12 10:58:37,1922.0,42.0,2226.0,163.0,898.0,87.0,1048.0,6962.0,Python Data. Leaflet.js Maps.,172.0,39,True,2024-12-12 10:52:14.000,0.19.1,35.0,folium,conda-forge/folium,,,,48526.0,47724.0,https://pypi.org/project/folium,2024-12-12 10:52:14.000,802.0,1712319.0,1782469.0,https://anaconda.org/conda-forge/folium,2024-12-11 14:38:30.392,3297053.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-12-09 07:56:27.934000,2024-11-29 09:26:13,2049.0,30.0,928.0,107.0,1718.0,449.0,1273.0,4555.0,Python tools for geographic data.,235.0,39,True,2024-07-02 12:26:55.000,1.0.1,57.0,geopandas,conda-forge/geopandas,,,['pandas'],48086.0,45247.0,https://pypi.org/project/geopandas,2024-07-02 12:26:50.000,2839.0,7231593.0,7309443.0,https://anaconda.org/conda-forge/geopandas,2024-12-09 07:56:27.934,4202392.0,,,,,1.0,2849.0,,,,,,,,,,,,,,,,,,, +74,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2024-12-10 23:30:52.000000,2024-12-10 23:30:51,18209.0,95.0,1313.0,84.0,8108.0,532.0,4401.0,2774.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,382.0,39,True,2024-08-19 02:18:45.000,1.8.0,80.0,mne,conda-forge/mne,,,,5162.0,4774.0,https://pypi.org/project/mne,2024-08-19 02:18:45.000,388.0,164241.0,172467.0,https://anaconda.org/conda-forge/mne,2024-08-19 02:39:24.602,452483.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +75,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-12-12 14:03:35.000000,2024-12-12 14:03:33,10606.0,249.0,595.0,66.0,2761.0,298.0,1908.0,1214.0,Machine learning for NeuroImaging in Python.,251.0,39,True,2024-12-02 12:17:24.000,0.11.0,48.0,nilearn,conda-forge/nilearn,,,['sklearn'],3939.0,3631.0,https://pypi.org/project/nilearn,2024-12-02 12:11:28.000,308.0,69297.0,75534.0,https://anaconda.org/conda-forge/nilearn,2024-12-02 18:36:47.819,305361.0,,,,,1.0,272.0,,,,,,,,,,,,,,,,,,, +76,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6788.0,1070.0,11124.0,1805.0,7758.0,20792.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7758.0,7632.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,120.0,611214.0,611617.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,11325.0,,,,,2.0,27758.0,apache/mxnet,,,,,,,,,,,6.0,,,,,,, +77,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-11-06 07:08:07.000000,2024-11-03 18:25:41,1700.0,12.0,2852.0,380.0,475.0,5.0,1914.0,14967.0,Python Echarts Plotting Library.,45.0,38,True,2024-11-06 02:54:47.000,2.0.7,75.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4881.0,4666.0,https://pypi.org/project/pyecharts,2024-11-03 18:29:35.000,215.0,192212.0,192215.0,,,,,,,,2.0,71.0,,,,,,,,5.0,,,,,,,,,,, +78,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-10-18 03:43:55.000000,2024-10-18 03:43:55,4410.0,14.0,3018.0,177.0,5055.0,539.0,2358.0,13599.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",295.0,38,True,2024-09-03 04:16:25.000,2.4.0,453.0,dgl,,,,,471.0,323.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,148.0,974497.0,974497.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +79,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-12-10 02:33:00.000000,2024-12-10 02:31:52,1511.0,30.0,1690.0,152.0,831.0,236.0,578.0,12593.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,133.0,38,True,2024-12-08 20:12:09.000,4.12.1,66.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",5028.0,4845.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,183.0,438424.0,443208.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,478203.0,,,,,2.0,219.0,ydataai/ydata-profiling,,,,,,,,,,,,,,,,,, +80,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-12-01 15:47:18.000000,2024-08-18 00:47:35,986.0,,1176.0,126.0,315.0,41.0,718.0,10363.0,Unsupervised text tokenizer for Neural Network-based text generation.,89.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,88361.0,86629.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1732.0,25745426.0,25767773.0,https://anaconda.org/conda-forge/sentencepiece,2024-11-25 20:20:10.872,1151832.0,,,,,1.0,46790.0,,,,,,,,,,,,,,,,,,, +81,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-12-08 16:19:46.000000,2024-12-08 15:57:58,22394.0,245.0,2190.0,181.0,3402.0,368.0,2090.0,8586.0,End-to-End Speech Processing Toolkit.,471.0,38,True,2024-12-04 04:40:05.000,.202412,54.0,espnet,,,,,405.0,393.0,https://pypi.org/project/espnet,2024-12-04 04:40:26.000,12.0,23386.0,23387.0,,,,,,,,1.0,83.0,,,,,,,,5.0,,,,,,,,,,, +82,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-12-12 09:36:33.000000,2024-12-12 03:28:59,5078.0,187.0,1391.0,108.0,4439.0,997.0,1619.0,8020.0,A unified framework for machine learning with time series.,422.0,38,True,2024-12-09 16:14:44.000,0.35.0,85.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],3790.0,3660.0,https://pypi.org/project/sktime,2024-12-09 16:14:44.000,130.0,957541.0,982956.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-10-25 05:41:19.084,1042011.0,,,,,1.0,110.0,sktime/sktime,,,,,,,,,,,,,,,,,, +83,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-12-11 20:44:59.000000,2024-12-11 20:44:53,4914.0,242.0,647.0,87.0,2709.0,306.0,747.0,6190.0,Flax is a neural network library for JAX that is designed for flexibility.,251.0,38,True,2024-11-19 19:58:50.000,0.10.2,50.0,flax,conda-forge/flax,,,['jax'],11184.0,10690.0,https://pypi.org/project/flax,2024-11-19 19:58:50.000,494.0,909217.0,911015.0,https://anaconda.org/conda-forge/flax,2024-11-20 00:54:51.479,80893.0,,,,,2.0,57.0,,,,,,,,,,,,,,,,,,, +84,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-12-12 00:45:33.000000,2024-12-10 16:23:50,6629.0,157.0,1556.0,109.0,4586.0,695.0,757.0,4326.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",374.0,38,True,2024-12-12 00:45:33.000,4.9.7.de202412120044,51.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],21031.0,20702.0,https://pypi.org/project/tensorflow-datasets,2024-10-30 12:58:48.000,329.0,2005904.0,2006840.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,40290.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +85,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-12-12 08:08:57.000000,2024-12-12 08:08:56,10892.0,62.0,403.0,58.0,3122.0,1108.0,2246.0,2719.0,"With Holoviews, your data visualizes itself.",145.0,38,True,2024-11-04 15:56:57.000,1.20.0,174.0,holoviews,conda-forge/holoviews,,,['jupyter'],13638.0,13231.0,https://pypi.org/project/holoviews,2024-11-11 07:16:12.000,402.0,463205.0,498422.0,https://anaconda.org/conda-forge/holoviews,2024-11-04 16:01:09.828,1890578.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-08-01 13:45:47.955,5.0,207.0,,,,,,,,,,,,, +86,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2024-12-12 15:09:27.000000,2024-12-11 12:46:07,1633.0,79.0,566.0,59.0,1586.0,154.0,858.0,2164.0,The official Python client for the Huggingface Hub.,210.0,38,True,2024-12-06 18:28:15.000,0.26.5,135.0,huggingface_hub,conda-forge/huggingface_hub,,,,2158.0,,https://pypi.org/project/huggingface_hub,2024-12-06 18:24:27.000,2158.0,52075344.0,52128256.0,https://anaconda.org/conda-forge/huggingface_hub,2024-12-10 17:41:30.388,2433990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +87,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-11-28 17:38:39.834000,2024-11-28 08:11:48,1549.0,8.0,296.0,31.0,501.0,99.0,512.0,1520.0,Python library for reading and writing image data.,119.0,38,True,2024-11-28 08:11:59.000,2.36.1,96.0,imageio,conda-forge/imageio,,,,153418.0,150886.0,https://pypi.org/project/imageio,2024-11-28 08:11:55.000,2532.0,26795087.0,26932115.0,https://anaconda.org/conda-forge/imageio,2024-11-28 17:38:39.834,7261479.0,,,,,2.0,1396.0,,,,,,,,,,,,,,,,,,, +88,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-11-24 05:25:05.032000,2024-10-18 16:40:02,2327.0,3.0,6414.0,425.0,1348.0,1291.0,3052.0,30669.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,428.0,37,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3911.0,3794.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,117.0,128711.0,130720.0,https://anaconda.org/conda-forge/fairseq,2024-11-24 05:25:05.032,106286.0,,,,,1.0,368.0,,,,,,,,,,,,,,,,,,, +89,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-12-12 04:28:47.000000,2024-12-12 04:28:44,8690.0,258.0,2805.0,305.0,237.0,21.0,1145.0,28661.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,37,True,2024-12-07 02:18:57.000,8.0.5,681.0,netron,,,,"['pytorch', 'tensorflow']",690.0,607.0,https://pypi.org/project/netron,2024-12-07 02:18:57.000,83.0,32875.0,116548.0,,,,,,,,1.0,83673.0,,,,,,,,,,,,,,,,,,, +90,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-12-05 07:41:28.000000,2024-12-05 07:41:28,2348.0,16.0,5431.0,513.0,182.0,1154.0,1385.0,23717.0,State-of-the-art 2D and 3D Face Analysis Project.,63.0,37,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],3097.0,3067.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,30.0,255281.0,542324.0,,,,,,,,2.0,5740866.0,,,,,,,,,,,,,,,,,,, +91,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/serve,https://github.com/jina-ai/serve,Apache-2.0,2020-02-13 17:04:44.000,2024-11-12 23:03:58.000000,2024-11-12 23:03:56,8624.0,48.0,2215.0,215.0,4218.0,4.0,1939.0,21181.0,Build multimodal AI applications with cloud-native stack.,178.0,37,True,2024-11-12 08:26:45.000,3.28.0,2485.0,jina,conda-forge/jina-core,jinaai/jina,,,27.0,,https://pypi.org/project/jina,2024-11-08 13:26:22.000,27.0,92098.0,124554.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,81384.0,https://hub.docker.com/r/jinaai/jina,2024-11-12 08:35:13.555896,8.0,1761471.0,2.0,,jina-ai/serve,,,,,,,,,,,,,,,,,, +92,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-12-12 12:31:25.000000,2024-11-25 16:28:03,32612.0,2.0,4649.0,357.0,6384.0,126.0,6642.0,19053.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",598.0,37,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4701.0,4641.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,60.0,200514.0,200514.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +93,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-11-29 12:10:45.000000,2024-11-29 11:05:20,4820.0,3.0,5277.0,379.0,725.0,670.0,1374.0,13192.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,37,False,2024-11-22 15:43:48.000,2.8.0,59.0,glfw,conda-forge/glfw,,,,1727.0,1528.0,https://pypi.org/project/glfw,2024-11-22 15:43:48.000,199.0,530127.0,571373.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,297012.0,,,,,2.0,4070524.0,,,,,,,,,,,,,,,,,,, +94,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-12-12 11:58:13.000000,2024-12-12 03:54:10,7645.0,542.0,2564.0,209.0,8506.0,141.0,2278.0,12428.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",370.0,37,True,2024-11-14 18:57:24.000,2.0.0,76.0,nemo-toolkit,,,,['pytorch'],34.0,21.0,https://pypi.org/project/nemo-toolkit,2024-12-11 09:08:34.000,13.0,207538.0,211838.0,,,,,,,,1.0,270945.0,,,,,,,,,,,,,,,,,,, +95,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-12-09 21:57:40.000000,2024-12-09 21:57:39,2838.0,40.0,971.0,128.0,1977.0,288.0,666.0,10054.0,Geometric Computer Vision Library for Spatial AI.,276.0,37,True,2024-11-05 09:32:20.000,0.7.4,41.0,kornia,conda-forge/kornia,,,['pytorch'],13300.0,13013.0,https://pypi.org/project/kornia,2024-11-05 09:32:20.000,287.0,1831458.0,1834834.0,https://anaconda.org/conda-forge/kornia,2024-11-05 13:20:30.148,161066.0,,,,,2.0,1562.0,,,,,,,,,,,,,,,,,,, +96,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2488.0,539.0,4121.0,697.0,2087.0,9908.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,15886.0,15714.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,90771.0,115235.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2470927.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +97,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-12-12 03:25:05.000000,2024-12-12 03:25:03,22125.0,980.0,571.0,62.0,3709.0,502.0,1075.0,8972.0,"Visualize, create, and debug image and video datasets and model predictions.",141.0,37,True,2024-12-07 00:07:14.000,1.1.0,151.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",779.0,755.0,https://pypi.org/project/fiftyone,2024-12-06 15:46:12.000,24.0,71030.0,71030.0,,,,,,,,2.0,,,,,,,,,5.0,,,,,,,,,,, +98,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-12-09 19:02:15.000000,2024-12-09 19:02:15,1454.0,17.0,910.0,212.0,254.0,179.0,246.0,7046.0,Efficiently computes derivatives of NumPy code.,60.0,37,True,2024-08-22 19:07:12.000,1.7.0,30.0,autograd,conda-forge/autograd,,,,10879.0,10596.0,https://pypi.org/project/autograd,2024-08-22 19:07:12.000,283.0,5114787.0,5131322.0,https://anaconda.org/conda-forge/autograd,2024-08-26 07:50:41.522,496059.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +99,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-12-09 17:49:22.000000,2024-12-09 17:49:19,12199.0,30.0,1107.0,158.0,468.0,699.0,756.0,4274.0,Probabilistic reasoning and statistical analysis in TensorFlow.,496.0,37,True,2024-11-08 16:30:13.000,0.25.0,53.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],620.0,2.0,https://pypi.org/project/tensorflow-probability,2024-11-08 16:25:57.000,618.0,1442682.0,1446078.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-05-27 12:58:13.692,156222.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +100,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-12-10 16:02:20.000000,2024-11-28 09:20:31,2436.0,46.0,222.0,65.0,145.0,77.0,612.0,4080.0,A Grammar of Graphics for Python.,112.0,37,True,2024-11-26 15:00:07.000,0.14.3,31.0,plotnine,conda-forge/plotnine,,,,10046.0,9722.0,https://pypi.org/project/plotnine,2024-11-26 12:23:32.000,324.0,3380066.0,3387910.0,https://anaconda.org/conda-forge/plotnine,2024-11-26 15:03:48.310,423582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +101,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-12-11 05:23:38.827000,2024-11-06 01:12:46,4201.0,32.0,1107.0,154.0,1743.0,435.0,900.0,3919.0,Fast data visualization and GUI tools for scientific / engineering applications.,295.0,37,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,11882.0,10856.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,1026.0,542291.0,553815.0,https://anaconda.org/conda-forge/pyqtgraph,2024-12-11 05:23:38.827,622308.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-12-12 04:20:08.000000,2024-12-12 04:20:08,4902.0,181.0,511.0,38.0,3888.0,661.0,1148.0,2778.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,168.0,37,True,2024-11-27 01:15:51.000,0.44.2,99.0,pyvista,conda-forge/pyvista,,,['jupyter'],4374.0,3796.0,https://pypi.org/project/pyvista,2024-11-27 00:06:11.000,578.0,403132.0,414105.0,https://anaconda.org/conda-forge/pyvista,2024-11-27 05:06:37.478,592097.0,,,,,2.0,841.0,,,,,,,,,,,,,,,,,,, +103,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-12-12 14:59:01.000000,2024-12-12 14:59:00,4856.0,341.0,606.0,47.0,5340.0,346.0,1108.0,2401.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",189.0,37,True,2024-11-05 19:53:48.000,0.39.0,60.0,pennylane,conda-forge/pennylane,,,,1306.0,1189.0,https://pypi.org/project/pennylane,2024-11-05 19:53:48.000,117.0,79096.0,83774.0,https://anaconda.org/conda-forge/pennylane,2024-07-09 13:59:12.283,173070.0,,,,,1.0,100.0,,,,,,,,,,,,,,,,,,, +104,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-12-06 19:59:01.000000,2024-12-06 19:57:48,3920.0,33.0,535.0,145.0,1242.0,146.0,1708.0,2285.0,Rasterio reads and writes geospatial raster datasets.,161.0,37,True,2024-12-02 16:44:51.000,1.4.3,166.0,rasterio,conda-forge/rasterio,,,,15738.0,14202.0,https://pypi.org/project/rasterio,2024-12-02 14:48:24.000,1536.0,3031634.0,3114536.0,https://anaconda.org/conda-forge/rasterio,2024-12-02 18:32:30.402,3896049.0,,,,,2.0,977.0,,,,,,,,,,,,,,,,,,, +105,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2024-12-12 09:25:16.000000,2024-12-03 16:56:50,4986.0,198.0,1102.0,149.0,1386.0,77.0,710.0,1908.0,Documentation and samples for ArcGIS API for Python.,94.0,37,True,2024-09-24 16:57:38.000,2.4.0,50.0,arcgis,,esridocker/arcgis-api-python-notebook,,,916.0,876.0,https://pypi.org/project/arcgis,2024-10-01 15:35:29.000,40.0,85663.0,85795.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,13165.0,,,,,,,,,,,,,,,,,,, +106,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-12-09 07:47:02.000000,2024-11-18 15:17:40,1568.0,13.0,202.0,47.0,621.0,32.0,775.0,1166.0,Fiona reads and writes geographic data files.,76.0,37,True,2024-09-16 20:20:31.000,1.10.1,117.0,fiona,conda-forge/fiona,,,,23970.0,23667.0,https://pypi.org/project/fiona,2024-09-16 20:14:20.000,303.0,4783096.0,4900988.0,https://anaconda.org/conda-forge/fiona,2024-12-06 18:05:16.036,6248321.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +107,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-08-21 09:23:45.000000,2020-02-15 08:33:35,523.0,,6713.0,1281.0,167.0,674.0,227.0,33467.0,Chinese Words Segmentation Utilities.,49.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,33858.0,33020.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,838.0,1329715.0,1331522.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,166309.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +108,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-08-21 02:01:07.000000,2024-02-05 13:23:18,2706.0,,9490.0,370.0,3163.0,1872.0,6747.0,29794.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,36,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],3341.0,3259.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,82.0,194113.0,194113.0,,,,,,,,2.0,,,,,,,,,5.0,,,,,,,,,,, +109,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-07-30 01:38:33.000000,2020-06-01 14:58:26,2913.0,,2444.0,229.0,345.0,310.0,225.0,14455.0,Image augmentation for machine learning experiments.,36.0,36,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,23502.0,23237.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,265.0,566381.0,569247.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,189175.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +110,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-12-12 14:25:03.000000,2024-08-31 11:55:45,1340.0,,2241.0,334.0,1604.0,408.0,1865.0,14299.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",173.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1316.0,1283.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,33.0,99263.0,99263.0,,,,,,,,2.0,,,,,,,,stable/horovod,,,,,,,,,,,, +111,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2254.0,280.0,3096.0,91.0,2477.0,11773.0,"An open-source NLP research library, built on PyTorch.",267.0,36,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4416.0,4291.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,77453.0,79708.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,162381.0,,,,,2.0,71.0,,,,,,,,,,,,,,,,,,, +112,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-12-12 13:55:57.000000,2024-12-10 15:44:09,6278.0,24.0,3703.0,249.0,1780.0,1079.0,4584.0,11664.0,Open-source simulator for autonomous driving research.,195.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,881.0,870.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,11.0,14924.0,14924.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +113,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-12-09 13:31:16.000000,2024-11-03 12:40:00,33357.0,534.0,1994.0,198.0,5866.0,46.0,3392.0,9550.0,Perform data science on data that remains in someone elses server.,515.0,36,True,2024-10-30 16:39:01.000,0.9.2,323.0,syft,,,,['pytorch'],5.0,1.0,https://pypi.org/project/syft,2024-11-03 12:40:12.000,4.0,15405.0,15583.0,,,,,,,,1.0,2315.0,,,,,,,,,,,,,,,,,,, +114,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-12-09 22:44:27.000000,2024-08-07 18:02:18,598.0,,1151.0,262.0,199.0,111.0,171.0,9184.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,36,True,2024-02-15 20:31:28.000,0.18.0,61.0,textblob,conda-forge/textblob,,,,46702.0,46312.0,https://pypi.org/project/textblob,2024-02-15 20:39:47.000,390.0,1312593.0,1315310.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,271770.0,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,, +115,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-11-19 07:53:40.000000,2024-11-19 07:52:37,700.0,15.0,352.0,69.0,128.0,31.0,152.0,8572.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",31.0,36,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,55886.0,53846.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,2040.0,5434407.0,5440474.0,https://anaconda.org/conda-forge/einops,2024-04-28 06:22:09.150,303369.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-12-09 20:21:08.080000,2024-12-09 00:16:51,628.0,84.0,2405.0,277.0,190.0,336.0,330.0,8478.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",52.0,36,True,2024-12-08 12:57:13.000,3.12.0,61.0,SpeechRecognition,conda-forge/speechrecognition,,,,633.0,21.0,https://pypi.org/project/SpeechRecognition,2024-12-08 12:56:25.000,612.0,1217455.0,1221557.0,https://anaconda.org/conda-forge/speechrecognition,2024-12-09 20:21:08.080,213349.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +117,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-12-11 14:16:58.000000,2024-12-10 14:54:14,1126.0,92.0,774.0,292.0,1500.0,334.0,423.0,8338.0,"Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems.",99.0,36,True,2024-12-10 16:02:45.000,2.12.39,163.0,metaflow,conda-forge/metaflow,,,,814.0,767.0,https://pypi.org/project/metaflow,2024-12-10 16:02:45.000,47.0,1368533.0,1372963.0,https://anaconda.org/conda-forge/metaflow,2024-12-05 21:14:08.213,234816.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +118,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-12-12 09:05:54.000000,2024-12-11 19:28:50,2433.0,131.0,934.0,98.0,2747.0,364.0,1139.0,8180.0,Fast and Accurate ML in 3 Lines of Code.,130.0,36,True,2024-11-27 17:04:12.000,1.2.0,1695.0,autogluon,conda-forge/autogluon,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",926.0,898.0,https://pypi.org/project/autogluon,2024-12-12 09:05:54.000,28.0,216396.0,217622.0,https://anaconda.org/conda-forge/autogluon,2024-12-10 21:52:58.836,23964.0,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,12076.0,1.0,,,,,,,,,,,,,,,,,,,, +119,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-12-10 12:03:35.000000,2024-12-10 12:03:35,3178.0,46.0,1095.0,88.0,3531.0,384.0,2786.0,5951.0,AI Toolkit for Healthcare Imaging.,212.0,36,True,2024-10-17 00:54:28.000,1.4.0,103.0,monai,conda-forge/monai,,,['pytorch'],3377.0,3241.0,https://pypi.org/project/monai,2024-12-10 07:27:41.000,136.0,218646.0,219622.0,https://anaconda.org/conda-forge/monai,2024-10-17 00:39:44.050,35144.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +120,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-12-02 19:38:44.000000,2024-12-02 19:38:44,1203.0,26.0,643.0,127.0,960.0,360.0,1116.0,4471.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",179.0,36,True,2024-11-20 04:56:30.000,8.1,51.0,coremltools,conda-forge/coremltools,,,,4413.0,4326.0,https://pypi.org/project/coremltools,2024-11-20 04:16:26.000,87.0,911447.0,913121.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,76675.0,,,,,2.0,12318.0,,,,,,,,,,,,,,,,,,, +121,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-12-12 13:17:21.000000,2024-12-12 13:17:18,1143.0,52.0,472.0,57.0,1346.0,427.0,442.0,2613.0,"Accelerate inference and training of Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware..",131.0,36,True,2024-10-29 17:44:37.000,1.23.3,74.0,optimum,conda-forge/optimum,,,,4229.0,4054.0,https://pypi.org/project/optimum,2024-10-29 17:43:29.000,175.0,1450238.0,1451125.0,https://anaconda.org/conda-forge/optimum,2024-05-29 19:43:21.254,28414.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +122,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-12-12 07:23:41.000000,2024-12-12 02:44:54,3616.0,358.0,311.0,70.0,2393.0,73.0,723.0,2392.0,Adaptive Experimentation Platform.,180.0,36,True,2024-09-23 20:22:26.000,0.4.3,43.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],907.0,853.0,https://pypi.org/project/ax-platform,2024-09-23 20:22:26.000,54.0,112331.0,113054.0,https://anaconda.org/conda-forge/ax-platform,2024-09-24 20:13:10.358,30382.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +123,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-12-11 07:15:34.000000,2024-12-11 07:15:34,2004.0,88.0,404.0,35.0,1739.0,75.0,819.0,2151.0,"Machine learning metrics for distributed, scalable PyTorch applications.",258.0,36,True,2024-11-12 19:29:02.000,1.6.0,53.0,metrics,conda-forge/torchmetrics,,,['pytorch'],33847.0,33845.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,4572.0,42786.0,https://anaconda.org/conda-forge/torchmetrics,2024-11-08 20:17:45.782,1713787.0,,,,,2.0,5861.0,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,,,, +124,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-12-10 20:37:31.000000,2024-12-10 20:37:29,3127.0,55.0,365.0,55.0,1221.0,313.0,992.0,1444.0,Cartopy - a cartographic python library with matplotlib support.,129.0,36,True,2024-10-08 23:24:50.000,0.24.1,32.0,cartopy,conda-forge/cartopy,,,,6885.0,6167.0,https://pypi.org/project/cartopy,2024-10-08 23:24:50.000,718.0,400466.0,478505.0,https://anaconda.org/conda-forge/cartopy,2024-10-07 23:20:51.384,4292153.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +125,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-12-04 13:30:48.000000,2024-12-04 13:29:21,1593.0,25.0,215.0,34.0,720.0,32.0,594.0,1074.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,69.0,36,True,2024-10-01 05:02:59.000,3.7.0,63.0,pyproj,conda-forge/pyproj,,,,38562.0,36822.0,https://pypi.org/project/pyproj,2024-10-01 05:02:59.000,1740.0,9342475.0,9515147.0,https://anaconda.org/conda-forge/pyproj,2024-10-01 16:10:00.706,9151653.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +126,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-12-04 20:07:53.000000,2024-12-04 20:07:46,15063.0,180.0,530.0,51.0,2329.0,420.0,969.0,751.0,Workflows and interfaces for neuroimaging packages.,261.0,36,True,2024-11-19 14:21:28.000,1.9.1,66.0,nipype,conda-forge/nipype,,,,5549.0,5399.0,https://pypi.org/project/nipype,2024-11-19 14:21:28.000,150.0,233058.0,247006.0,https://anaconda.org/conda-forge/nipype,2024-11-20 03:29:14.581,725316.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +127,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-12-07 02:29:14.000000,2024-12-07 02:29:14,6055.0,117.0,259.0,37.0,860.0,130.0,415.0,660.0,Python package to access a cacophony of neuro-imaging file formats.,106.0,36,True,2024-10-23 14:19:52.000,5.3.2,45.0,nibabel,conda-forge/nibabel,,,,24720.0,23539.0,https://pypi.org/project/nibabel,2024-10-23 14:19:52.000,1181.0,2124382.0,2139344.0,https://anaconda.org/conda-forge/nibabel,2024-10-23 17:14:10.689,807958.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +128,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-10-28 18:51:40.000000,2024-10-20 08:37:57,818.0,16.0,4535.0,452.0,469.0,424.0,1733.0,18612.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,183.0,35,True,2024-10-02 23:56:39.000,1.1.6-patched-pypi,18.0,fbprophet,conda-forge/prophet,,,,112.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,91.0,222126.0,251808.0,https://anaconda.org/conda-forge/prophet,2024-10-04 13:02:12.277,1304647.0,,,,,1.0,2893.0,,,,,,,,,,,,,,,,,,, +129,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-12-12 15:02:00.000000,2024-12-12 14:22:27,3777.0,130.0,1934.0,146.0,4119.0,97.0,3509.0,18087.0,"AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",272.0,35,True,2024-12-05 11:26:41.000,2.8.0,100.0,haystack,,,,,691.0,686.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,6522.0,6522.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-12-09 08:47:35.000000,2024-12-09 07:20:18,3925.0,58.0,1022.0,137.0,188.0,113.0,1094.0,14341.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",102.0,35,True,2024-12-09 08:48:06.000,16.7.0,248.0,ocrmypdf,conda-forge/ocrmypdf,,,,1126.0,1089.0,https://pypi.org/project/ocrmypdf,2024-12-09 08:47:35.000,37.0,179827.0,182039.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,84742.0,,,,,1.0,5935.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +131,ivy,unifyai/ivy,ml-frameworks,,https://github.com/ivy-llc/ivy,https://github.com/ivy-llc/ivy,Intel-ACPI,2021-01-19 08:37:25.000,2024-12-06 11:15:56.000000,2024-12-06 11:14:53,18781.0,189.0,5743.0,71.0,11746.0,939.0,15952.0,14021.0,Convert Machine Learning Code Between Frameworks.,1479.0,35,False,2024-11-03 19:38:51.000,1.0.0.1,134.0,ivy,,,,,14.0,,https://pypi.org/project/ivy,2024-11-03 21:39:07.000,14.0,19158.0,19158.0,,,,,,,,2.0,,ivy-llc/ivy,,,,,,,-1.0,,,,,,,,,,, +132,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-12-12 01:15:11.000000,2024-08-30 03:34:11,5357.0,,1775.0,138.0,1032.0,388.0,1948.0,9019.0,"An open-source, low-code machine learning library in Python.",141.0,35,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,6837.0,6806.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,31.0,402542.0,403699.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,59516.0,,,,,2.0,715.0,,,,,,,,,,,,,,,,,,, +133,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-07-25 08:47:51.000000,2022-12-08 17:49:19,746.0,,1046.0,133.0,237.0,371.0,274.0,9014.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,77354.0,75985.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1369.0,6603995.0,6605816.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,131169.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +134,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-11-12 01:59:15.000000,2024-11-12 01:59:15,1870.0,5.0,1369.0,146.0,250.0,223.0,147.0,8646.0,"A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques.",60.0,35,True,2024-09-06 03:26:33.000,2.0.2,94.0,pyod,conda-forge/pyod,,,,4646.0,4533.0,https://pypi.org/project/pyod,2024-09-06 03:24:51.000,113.0,709977.0,712361.0,https://anaconda.org/conda-forge/pyod,2024-09-06 15:18:34.744,131147.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +135,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-12-12 14:25:55.000000,2024-12-12 13:34:47,39970.0,544.0,908.0,155.0,10976.0,1052.0,5603.0,8522.0,cuDF - GPU DataFrame Library.,298.0,35,True,2024-12-11 19:11:01.000,24.12.00,58.0,cudf,,,,,80.0,58.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,22.0,3671.0,3671.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +136,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2024-11-27 22:22:10.016000,2024-08-01 18:55:53,10421.0,,1925.0,352.0,3431.0,134.0,1140.0,8495.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,338.0,35,True,2024-08-08 17:57:21.000,9.10.0,30.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,41.0,1.0,https://pypi.org/project/vowpalwabbit,2024-08-08 17:57:21.000,40.0,162989.0,168083.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-11-27 22:22:10.016,254707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-11-29 15:34:40.000000,2024-11-29 15:34:40,1865.0,50.0,809.0,127.0,291.0,484.0,339.0,7520.0,Uniform Manifold Approximation and Projection.,138.0,35,True,2024-10-28 18:05:55.000,0.5.7,41.0,umap-learn,conda-forge/umap-learn,,,,1061.0,1.0,https://pypi.org/project/umap-learn,2024-10-28 18:05:55.000,1060.0,2145601.0,2196237.0,https://anaconda.org/conda-forge/umap-learn,2024-10-29 17:21:14.789,2734397.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +138,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-12-12 10:07:56.000000,2024-12-12 07:03:34,3389.0,145.0,796.0,77.0,3768.0,168.0,925.0,7215.0,"The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines,..",214.0,35,True,2024-12-12 10:07:56.000,1.3.16,171.0,bentoml,,,,,2279.0,2248.0,https://pypi.org/project/bentoml,2024-12-12 10:07:56.000,31.0,125475.0,125492.0,,,,,,,,2.0,824.0,,,,,,,,,,,,,,,,,,, +139,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2024-12-11 19:23:54.000000,2024-12-11 19:01:35,1284.0,51.0,657.0,62.0,145.0,71.0,450.0,6042.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",43.0,35,True,2024-12-11 19:23:54.000,2.8.1,215.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],2178.0,2123.0,https://pypi.org/project/pytorch-metric-learning,2024-12-11 19:21:13.000,55.0,1019101.0,1019309.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,12285.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +140,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-12-11 19:42:27.000000,2024-12-11 17:33:30,10561.0,31.0,1697.0,143.0,2486.0,655.0,1241.0,5591.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",251.0,35,True,2024-04-03 16:21:23.000,2.8.0,949.0,deepchem,conda-forge/deepchem,,,['tensorflow'],476.0,463.0,https://pypi.org/project/deepchem,2024-12-11 19:42:27.000,13.0,67333.0,69402.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,111756.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +141,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-12-11 15:13:47.000000,2024-12-11 13:12:46,30567.0,214.0,1613.0,186.0,2226.0,28.0,1613.0,5150.0,"mlpack: a fast, header-only C++ machine learning library.",325.0,35,True,2024-12-11 15:13:47.000,4.5.1,49.0,mlpack,conda-forge/mlpack,,,,6.0,,https://pypi.org/project/mlpack,2024-12-11 15:13:47.000,6.0,7431.0,12576.0,https://anaconda.org/conda-forge/mlpack,2024-09-22 00:54:14.076,277856.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +142,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-11-16 09:07:24.553000,2024-11-15 00:41:39,1657.0,11.0,871.0,115.0,538.0,147.0,345.0,4925.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,111.0,35,True,2024-11-15 00:43:08.000,0.23.3,54.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],16719.0,16531.0,https://pypi.org/project/mlxtend,2024-11-15 00:43:08.000,188.0,879167.0,885455.0,https://anaconda.org/conda-forge/mlxtend,2024-11-16 09:07:24.553,333278.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +143,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-12-04 13:50:07.000000,2024-12-04 09:36:07,986.0,7.0,852.0,90.0,226.0,139.0,687.0,4594.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",49.0,35,True,2024-06-17 17:55:00.000,84,74.0,opencv-python,,,,,490114.0,479758.0,https://pypi.org/project/opencv-python,2024-06-17 18:28:13.000,10356.0,14996206.0,14996206.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +144,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-12-12 00:19:50.000000,2024-12-09 13:58:35,1744.0,22.0,620.0,59.0,1894.0,160.0,1269.0,4553.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,717.0,35,True,2024-08-13 12:47:02.000,0.5.1,1826.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],3502.0,3402.0,https://pypi.org/project/pytorch-ignite,2024-12-12 00:19:50.000,100.0,157085.0,159760.0,https://anaconda.org/pytorch/ignite,2024-08-13 12:46:51.642,208696.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-12-12 05:09:50.000000,2024-12-09 14:27:07,8620.0,30.0,713.0,101.0,13379.0,43.0,863.0,3885.0,State of the Art Natural Language Processing.,113.0,35,True,2024-10-24 21:17:35.000,5.5.1,149.0,spark-nlp,,,,['spark'],568.0,531.0,https://pypi.org/project/spark-nlp,2024-10-24 19:21:24.000,37.0,4044972.0,4044972.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-12-11 15:29:54.000000,2024-12-11 13:00:06,5345.0,3.0,275.0,79.0,798.0,21.0,129.0,2825.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",65.0,35,True,2024-10-01 10:35:24.000,8.3.2,241.0,thinc,conda-forge/thinc,,,,57557.0,57416.0,https://pypi.org/project/thinc,2024-10-01 10:35:24.000,141.0,13484784.0,13543137.0,https://anaconda.org/conda-forge/thinc,2024-12-03 05:26:04.520,3209195.0,,,,,2.0,433.0,,,,,,,,,,,,,,,,,,, +147,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-12-12 11:34:43.000000,2024-11-15 14:15:49,2320.0,7.0,655.0,73.0,2912.0,263.0,727.0,2560.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",228.0,35,True,2024-10-29 17:41:14.000,2.5.1,39.0,torchaudio,,,,['pytorch'],1399.0,,https://pypi.org/project/torchaudio,2024-10-29 17:41:14.000,1399.0,5498386.0,5498386.0,,,,,,,,2.0,,,,,,,,,7.0,,,,,,,,,,, +148,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,,213.0,32.0,47.0,12.0,170.0,1658.0,Simple Python interface for Graphviz.,23.0,35,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,80603.0,77984.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2619.0,18792185.0,18792735.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,50640.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +149,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-11-19 15:00:21.000000,2024-11-19 15:00:21,1569.0,7.0,407.0,49.0,1522.0,182.0,689.0,1620.0,Exploratory analysis of Bayesian models with Python.,163.0,35,True,2024-09-28 20:50:27.000,0.20.0,39.0,arviz,conda-forge/arviz,,,,8803.0,8490.0,https://pypi.org/project/arviz,2024-09-28 20:50:27.000,313.0,1341221.0,1382341.0,https://anaconda.org/conda-forge/arviz,2024-09-29 12:11:02.561,2261541.0,,,,,1.0,177.0,,,,,,,,,,,,,,,,,,, +150,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-12-12 01:17:14.000000,2024-12-12 01:16:21,897.0,8.0,346.0,42.0,1076.0,193.0,172.0,1237.0,Making text a first-class citizen in TensorFlow.,157.0,35,True,2024-10-28 21:49:45.000,2.18.0,73.0,tensorflow-text,,,,['tensorflow'],7918.0,7700.0,https://pypi.org/project/tensorflow-text,2024-10-28 20:25:18.000,218.0,9500414.0,9500414.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/uxlfoundation/scikit-learn-intelex,https://github.com/uxlfoundation/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2024-12-12 13:45:52.000000,2024-12-12 13:45:52,1963.0,145.0,177.0,29.0,1936.0,44.0,196.0,1235.0,Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,83.0,35,True,2024-12-12 12:04:02.000,2025.0.1,32.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],12736.0,12681.0,https://pypi.org/project/scikit-learn-intelex,2024-12-12 12:04:02.000,55.0,214777.0,223611.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-11-13 16:09:05.160,388722.0,,,,,1.0,,uxlfoundation/scikit-learn-intelex,,,,,,,,,,,,,,,,,, +152,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-08-21 06:22:36.000000,2022-06-10 09:12:18,238.0,,13504.0,1568.0,234.0,795.0,591.0,53684.0,The worlds simplest facial recognition api for Python and the command line.,54.0,34,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],3813.0,3697.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,116.0,156693.0,157313.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,30880.0,,,,,2.0,1396.0,,,,,,,,,,,,,,,,,,, +153,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2024-08-16 12:07:14.000000,2024-02-10 14:20:58,4668.0,,4374.0,298.0,750.0,88.0,1046.0,36036.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",166.0,34,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",2033.0,1980.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,53.0,144263.0,229635.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,19993.0,,,,,2.0,3818111.0,,,,,,,,,,,,,,,,,,, +154,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-11-21 19:12:36.000000,2024-11-21 19:08:51,1537.0,7.0,7505.0,389.0,691.0,542.0,3077.0,30768.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",274.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],2181.0,2168.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,13.0,,9384.0,https://anaconda.org/conda-forge/detectron2,2024-11-06 15:19:24.704,497377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +155,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-06-12 09:44:40.000000,2024-03-13 15:16:33,391.0,,4719.0,846.0,268.0,555.0,611.0,25976.0,Library for fast text representation and classification.,68.0,34,True,2024-06-12 09:44:40.000,0.9.3,37.0,fasttext,conda-forge/fasttext,,,,7199.0,6952.0,https://pypi.org/project/fasttext,2024-06-12 09:44:40.000,247.0,1603873.0,1606079.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,112537.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-09-24 11:34:43.000000,2024-09-24 11:18:06,618.0,1.0,3151.0,320.0,262.0,436.0,597.0,24827.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",129.0,34,True,2024-09-24 11:34:43.000,1.7.2,33.0,easyocr,,,,,10159.0,9946.0,https://pypi.org/project/easyocr,2024-09-24 11:34:43.000,213.0,737852.0,1045463.0,,,,,,,,2.0,16611042.0,,,,,,,,,,,,,,,,,,, +157,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4446.0,546.0,717.0,416.0,1283.0,14120.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,34,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,6044.0,6026.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,59238.0,59238.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +158,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-09-05 05:37:11.713000,2024-07-29 00:37:39,894.0,,1163.0,318.0,268.0,57.0,343.0,13317.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,34,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,4731.0,4530.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,201.0,871384.0,882880.0,https://anaconda.org/conda-forge/python-annoy,2024-09-05 05:37:11.713,586309.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-12-02 14:23:48.392000,2024-11-10 14:19:33,580.0,4.0,2316.0,217.0,255.0,130.0,418.0,10206.0,A little word cloud generator in Python.,72.0,34,True,2024-11-10 14:34:59.000,1.9.4,21.0,wordcloud,conda-forge/wordcloud,,,,567.0,21.0,https://pypi.org/project/wordcloud,2024-11-10 14:34:59.000,546.0,1876179.0,1887072.0,https://anaconda.org/conda-forge/wordcloud,2024-12-02 14:23:48.392,577334.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +160,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-11-30 17:36:40.595000,2024-11-29 01:15:54,2663.0,5.0,691.0,104.0,499.0,610.0,1265.0,9621.0,An open source multi-tool for exploring and publishing data.,80.0,34,True,2024-11-29 01:18:11.000,0.65.1,154.0,datasette,conda-forge/datasette,,,,1786.0,1371.0,https://pypi.org/project/datasette,2024-11-29 01:18:11.000,415.0,207011.0,208132.0,https://anaconda.org/conda-forge/datasette,2024-11-30 17:36:40.595,49297.0,,,,,2.0,68.0,,,,,,,,,datasette,,,,,,,,,, +161,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-11-26 10:41:20.000000,2024-11-26 10:38:20,1193.0,18.0,1318.0,149.0,181.0,277.0,1361.0,8886.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,153.0,34,False,2024-09-13 14:37:23.000,V0.7.8,19.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],1068.0,1054.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,4346.0,8824.0,https://anaconda.org/pytorch3d/pytorch3d,2024-09-13 14:58:15.228,273212.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +162,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-12-09 08:12:18.000000,2024-12-03 04:01:36,2947.0,21.0,1681.0,93.0,1700.0,236.0,2125.0,8765.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",131.0,34,True,2024-11-05 11:28:52.000,2.10.0,20.0,paddleseg,,,,['paddle'],1336.0,1329.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,1676.0,1676.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2024-12-12 00:37:05.000000,2024-11-13 15:11:46,32553.0,40.0,1997.0,387.0,6897.0,2840.0,6682.0,6953.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",269.0,34,True,,,156.0,h2o,,,,,70.0,21.0,https://pypi.org/project/h2o,2024-11-02 07:09:16.000,49.0,228190.0,228190.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1368.0,281.0,6588.0,12.0,2032.0,5899.0,A flexible framework of neural networks for deep learning.,326.0,34,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3406.0,3348.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,364098.0,364453.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,20640.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +165,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-11-20 23:50:19.000000,2024-11-20 23:50:18,2341.0,7.0,1123.0,192.0,240.0,279.0,285.0,5885.0,Distributed Evolutionary Algorithms in Python.,89.0,34,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,5806.0,5554.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,252.0,487389.0,496720.0,https://anaconda.org/conda-forge/deap,2024-09-03 13:46:04.210,466595.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +166,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-12-12 02:57:18.000000,2024-12-12 02:42:32,1213.0,88.0,499.0,277.0,901.0,249.0,340.0,4975.0,Model interpretability and understanding for PyTorch.,125.0,34,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2753.0,2627.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,126.0,288452.0,291283.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,101950.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +167,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2024-12-11 21:52:57.000000,2024-12-11 21:46:22,12414.0,27.0,1159.0,99.0,1403.0,141.0,759.0,4940.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",138.0,34,True,2024-10-02 21:30:21.000,1.18.2,61.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,643.0,623.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-10-02 21:24:21.000,20.0,73523.0,74577.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-10-03 01:54:09.200,55889.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +168,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-12-05 20:59:36.000000,2024-12-05 20:24:11,3883.0,22.0,866.0,57.0,1720.0,424.0,1270.0,4264.0,"Serve, optimize and scale PyTorch models in production.",217.0,34,True,2024-09-30 22:46:39.000,0.12.0,26.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],791.0,769.0,https://pypi.org/project/torchserve,2024-09-30 18:57:42.000,22.0,61648.0,90787.0,https://anaconda.org/pytorch/torchserve,2024-09-30 18:57:10.837,385540.0,https://hub.docker.com/r/pytorch/torchserve,2024-09-30 22:07:15.226668,30.0,1371821.0,2.0,7251.0,,,,,,,,,,,,,,,,,,, +169,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-12-12 10:30:08.000000,2024-12-12 10:20:59,3588.0,230.0,383.0,32.0,3399.0,102.0,2076.0,4104.0,Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets.,105.0,34,True,2024-11-29 12:28:59.000,2.5.0,100.0,rubrix,conda-forge/rubrix,,,,2831.0,2831.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,2501.0,3590.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,39226.0,,,,,2.0,,argilla-io/argilla,,,,,,,,,,,,,,,,,, +170,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-12-09 22:24:28.000000,2024-12-09 22:22:15,1349.0,31.0,287.0,41.0,497.0,103.0,246.0,4036.0,Lightning fast forecasting with statistical and econometric models.,48.0,34,True,2024-11-26 23:47:16.000,2.0.0,38.0,statsforecast,conda-forge/statsforecast,,,,1357.0,1298.0,https://pypi.org/project/statsforecast,2024-11-26 23:47:16.000,59.0,1170755.0,1174196.0,https://anaconda.org/conda-forge/statsforecast,2024-12-05 02:05:49.029,113563.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +171,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-12-12 10:23:53.000000,2024-12-12 10:23:51,1538.0,18.0,366.0,92.0,784.0,138.0,452.0,3335.0,Quickly and accurately render even the largest data.,58.0,34,True,2024-07-04 16:40:09.000,0.16.3,51.0,datashader,conda-forge/datashader,,,,5388.0,5192.0,https://pypi.org/project/datashader,2024-07-04 12:26:22.000,196.0,156784.0,179564.0,https://anaconda.org/conda-forge/datashader,2024-07-08 10:48:31.985,1252954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-11-25 12:35:24.000000,2024-11-09 15:17:22,7402.0,5.0,618.0,115.0,1191.0,365.0,1115.0,3334.0,High-performance interactive 2D/3D data visualization library.,199.0,34,True,2024-06-17 12:39:47.000,0.14.3,39.0,vispy,conda-forge/vispy,,,['jupyter'],1941.0,1765.0,https://pypi.org/project/vispy,2024-06-17 12:32:22.000,173.0,922250.0,935172.0,https://anaconda.org/conda-forge/vispy,2024-09-04 12:47:04.775,658251.0,,,,,2.0,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,16.0,,,,,,,,,,,,, +173,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-12-10 10:58:17.000000,2024-12-09 20:00:15,2067.0,80.0,405.0,52.0,1817.0,79.0,482.0,3123.0,Bayesian optimization in PyTorch.,134.0,34,True,2024-09-17 16:43:01.000,0.12.0,47.0,botorch,conda-forge/botorch,,,['pytorch'],1346.0,1262.0,https://pypi.org/project/botorch,2024-09-17 16:43:01.000,84.0,177289.0,179842.0,https://anaconda.org/conda-forge/botorch,2024-09-20 23:53:13.019,132797.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +174,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2024-11-18 16:14:10.000000,2024-11-18 15:46:29,1050.0,19.0,505.0,56.0,150.0,359.0,171.0,2823.0,A high performance implementation of HDBSCAN clustering.,96.0,34,True,2024-11-18 16:14:10.000,0.8.40,57.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],4766.0,4414.0,https://pypi.org/project/hdbscan,2024-11-18 16:14:10.000,352.0,885197.0,930219.0,https://anaconda.org/conda-forge/hdbscan,2024-10-12 13:49:18.321,2251105.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +175,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-12-11 07:28:15.000000,2024-12-11 07:28:15,3044.0,58.0,717.0,76.0,938.0,297.0,650.0,2773.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",133.0,34,True,2024-08-09 17:03:45.000,0.1.26,26.0,pgmpy,,,,,1341.0,1288.0,https://pypi.org/project/pgmpy,2024-08-09 16:48:04.000,53.0,118010.0,118020.0,,,,,,,,1.0,569.0,,,,,,,,,,,,,,,,,,, +176,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-12-11 09:05:31.000000,2024-12-11 08:46:11,5358.0,73.0,557.0,20.0,1467.0,1147.0,710.0,2321.0,"This is the development home of the workflow management system Snakemake. For general information, see.",343.0,34,True,2024-11-29 12:39:05.000,8.25.5,373.0,snakemake,bioconda/snakemake,,,,2425.0,2177.0,https://pypi.org/project/snakemake,2024-11-29 12:39:05.000,248.0,111915.0,123289.0,https://anaconda.org/bioconda/snakemake,2024-12-02 08:36:48.398,1251224.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-12-12 02:47:46.000000,2024-12-12 02:46:04,5965.0,109.0,714.0,88.0,6049.0,257.0,867.0,2121.0,TFX is an end-to-end platform for deploying production ML pipelines.,192.0,34,True,2024-12-11 20:13:47.000,1.16.0,100.0,tfx,,,,['tensorflow'],1635.0,1618.0,https://pypi.org/project/tfx,2024-12-11 20:13:47.000,17.0,33366.0,33366.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +178,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-10-01 11:37:22.000000,2024-10-01 11:37:17,1873.0,7.0,200.0,33.0,214.0,26.0,403.0,1418.0,The ctypes-based simple ImageMagick binding for Python.,106.0,34,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,20279.0,20022.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,257.0,1082405.0,1084523.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,90415.0,,,,,2.0,51580.0,,,,,,,,,,,,,,,,,,, +179,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-11-29 08:37:03.000000,2024-11-29 08:37:01,2931.0,29.0,249.0,35.0,233.0,48.0,514.0,1328.0,Python interface for igraph.,76.0,34,False,2024-10-28 12:53:42.000,0.11.8,43.0,python-igraph,conda-forge/igraph,,,,4655.0,4249.0,https://pypi.org/project/python-igraph,2024-10-28 12:53:42.000,406.0,1129544.0,1147991.0,https://anaconda.org/conda-forge/igraph,2024-11-19 17:05:42.667,652901.0,,,,,1.0,565655.0,,,,,,,,,,,,,,,,,,, +180,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-07-30 07:34:33.171000,2024-07-30 00:56:56,1557.0,,155.0,40.0,132.0,4.0,645.0,1173.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,34,True,2024-07-30 00:58:25.000,1.12.0,37.0,agate,conda-forge/agate,,,,4210.0,4161.0,https://pypi.org/project/agate,2024-07-30 00:58:25.000,49.0,13347491.0,13353482.0,https://anaconda.org/conda-forge/agate,2024-07-30 07:34:33.171,257640.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +181,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-12-10 01:03:13.551000,2024-12-09 18:08:04,575.0,17.0,104.0,35.0,70.0,72.0,84.0,957.0,Describing statistical models in Python using symbolic formulas.,22.0,34,True,2024-11-12 14:10:52.000,1.0.1,15.0,patsy,conda-forge/patsy,,,,111816.0,111283.0,https://pypi.org/project/patsy,2024-11-12 14:10:52.000,533.0,15328692.0,15667423.0,https://anaconda.org/conda-forge/patsy,2024-12-10 01:03:13.551,13210532.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +182,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-12-10 08:46:16.000000,2024-12-10 08:46:15,3771.0,81.0,4349.0,385.0,4246.0,448.0,1267.0,38903.0,"Making large AI models cheaper, faster and more accessible.",192.0,33,True,2024-11-04 09:28:04.000,0.4.6,46.0,,,,,,447.0,447.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +183,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-12-12 14:59:49.000000,2024-12-12 14:12:14,7199.0,1292.0,2969.0,272.0,7279.0,135.0,679.0,27152.0,You like pytorch? You like micrograd? You love tinygrad!.,356.0,33,True,2024-11-19 00:48:26.000,0.10.0,9.0,,,,,['pytorch'],147.0,147.0,,,,,,,,,,,,,1.0,,tinygrad/tinygrad,,,,,,,,,,,,,,,,,, +184,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,MulanPSL-1.0,2018-08-02 17:56:45.000,2024-12-12 12:40:20.000000,2024-12-12 11:30:48,18931.0,299.0,4883.0,398.0,5700.0,142.0,3994.0,26909.0,Platform for building AI that can learn and answer questions over federated data.,863.0,33,False,2024-12-11 16:27:58.000,24.12.2.1,506.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-12-11 16:28:42.000,,16247.0,16247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +185,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-09-03 21:17:43.000000,2021-11-17 17:52:52,3466.0,,3975.0,673.0,1678.0,151.0,1988.0,25473.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],500.0,476.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,24391.0,40641.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,3367.0,,,,,2.0,1212615.0,,,,,,,,,,,,,,,,,,, +186,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-12-12 09:31:34.000000,2024-12-09 13:38:58,3653.0,425.0,1428.0,127.0,4030.0,348.0,1027.0,20953.0,"Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also..",128.0,33,True,2024-12-09 15:05:46.000,1.12.5,89.0,,,,,,115.0,115.0,,,,,6027.0,,,,,,,,2.0,265190.0,,,,,,,,,,,,,,,,,,, +187,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-12-02 15:12:13.000000,2024-11-15 09:23:37,9021.0,11.0,3078.0,276.0,1300.0,163.0,710.0,19414.0,Best Practices on Recommendation Systems.,137.0,33,True,2024-05-01 18:45:29.000,1.2.0,13.0,recommenders,,,,,144.0,140.0,https://pypi.org/project/recommenders,2024-05-01 18:45:29.000,4.0,25473.0,25481.0,,,,,,,,1.0,627.0,recommenders-team/recommenders,,,,,,,,,,,,,,,,,, +188,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-11-19 19:28:48.000000,2024-08-01 02:26:04,1422.0,,3739.0,753.0,1141.0,417.0,589.0,19232.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],554.0,549.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,8340.0,8340.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +189,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3508.0,469.0,671.0,590.0,672.0,15636.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,33,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1533.0,1519.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,9385.0,9385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-07-25 20:32:21.000000,2021-07-29 23:17:25,531.0,,1811.0,261.0,117.0,120.0,535.0,11661.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,7091.0,6888.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,203.0,470409.0,472900.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,239211.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +191,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-12-02 23:28:04.000000,2024-10-17 22:52:09,3861.0,4.0,1193.0,194.0,2870.0,45.0,1037.0,11233.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",157.0,33,True,2024-07-30 00:29:49.000,0.10.4,56.0,ludwig,,,,['tensorflow'],290.0,284.0,https://pypi.org/project/ludwig,2024-07-30 00:29:49.000,6.0,2282.0,2282.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +192,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-12-12 05:53:11.165000,2024-12-09 19:19:02,6205.0,129.0,1191.0,123.0,1766.0,113.0,724.0,8643.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",98.0,33,True,2024-12-10 04:22:52.000,3.2.0,140.0,perspective-python,conda-forge/perspective,,,['jupyter'],189.0,155.0,https://pypi.org/project/perspective-python,2024-12-10 04:20:04.000,28.0,18899.0,47514.0,https://anaconda.org/conda-forge/perspective,2024-12-12 05:53:11.165,1376136.0,,,,,2.0,7117.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-12-10 04:18:43.152,6.0,2713.0,,,,,,,,,,,,, +193,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-12-04 03:39:13.000000,2024-12-04 03:39:13,2498.0,13.0,987.0,200.0,2330.0,261.0,847.0,8601.0,Deep universal probabilistic programming with Python and PyTorch.,158.0,33,True,2024-06-02 00:37:37.000,1.9.1,36.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],186.0,,https://pypi.org/project/pyro-ppl,2024-06-02 00:37:37.000,186.0,281023.0,285657.0,https://anaconda.org/conda-forge/pyro-ppl,2024-06-03 00:37:06.159,208555.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +194,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2024-11-16 04:31:27.000000,2024-11-16 04:31:19,529.0,1.0,862.0,84.0,277.0,81.0,376.0,7886.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,33,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,52013.0,51388.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,625.0,3978900.0,4002299.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1239901.0,,,,,2.0,452.0,,,,,,,,,,,,,,,,,,, +195,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-10-28 23:29:31.000000,2024-09-25 17:28:01,1221.0,1.0,1051.0,121.0,278.0,143.0,542.0,7291.0,Distributed Asynchronous Hyperparameter Optimization in Python.,104.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,18690.0,18237.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,453.0,2574537.0,2585255.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,803864.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +196,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2024-12-11 21:34:38.000000,2024-12-09 22:42:53,871.0,6.0,1283.0,142.0,509.0,48.0,567.0,6871.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,85.0,33,True,2024-10-04 17:52:31.000,0.12.4,38.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],452.0,,https://pypi.org/project/imbalanced-learn,2024-10-04 17:00:52.000,452.0,16038601.0,16050495.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-10-04 17:49:36.866,642286.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +197,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-12-12 09:56:30.000000,2024-12-12 09:56:30,3764.0,304.0,1270.0,253.0,9883.0,1007.0,1635.0,6801.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Mixtral, Gemma, Phi, MiniCPM, Qwen-VL,..",112.0,33,True,2024-08-22 09:06:57.000,2.1.0,869.0,bigdl,,,,,7.0,,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,38640.0,38647.0,,,,,,,,2.0,644.0,intel-analytics/ipex-llm,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,, +198,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-11-12 20:53:07.000000,2024-11-12 20:53:05,209.0,13.0,1104.0,201.0,156.0,147.0,342.0,6329.0,Official Kaggle API.,48.0,33,True,2024-07-24 19:08:19.000,1.6.17,74.0,kaggle,conda-forge/kaggle,,,,230.0,21.0,https://pypi.org/project/kaggle,2024-07-24 19:08:19.000,209.0,252948.0,256800.0,https://anaconda.org/conda-forge/kaggle,2024-07-27 21:52:01.276,196487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +199,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-12-12 11:09:23.000000,2024-12-12 10:39:28,3534.0,157.0,735.0,146.0,132.0,106.0,349.0,6321.0,Fit interpretable models. Explain blackbox machine learning.,48.0,33,True,2024-12-10 09:46:40.000,0.6.8,56.0,interpret,,,,['jupyter'],853.0,803.0,https://pypi.org/project/interpret,2024-12-10 09:46:40.000,50.0,126649.0,126649.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +200,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-11-22 18:31:49.000000,2024-11-22 18:31:49,630.0,10.0,722.0,109.0,196.0,9.0,356.0,5910.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,33,True,2024-08-16 02:36:10.000,0.3.13,28.0,pytesseract,conda-forge/pytesseract,,,,971.0,,https://pypi.org/project/pytesseract,2024-08-16 02:36:10.000,971.0,2626222.0,2638240.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,636990.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +201,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-12-09 15:09:40.000000,2024-12-09 15:09:36,2453.0,31.0,657.0,97.0,276.0,505.0,573.0,5738.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",101.0,33,True,2024-10-27 20:17:04.000,1.16.5,174.0,clearml,,allegroai/trains,,,1481.0,1430.0,https://pypi.org/project/clearml,2024-12-07 17:47:36.000,51.0,316358.0,316862.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30320.0,2.0,3017.0,,,,,,,,,,,,,,,,,,, +202,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-10-30 21:00:49.000000,2024-10-30 21:00:25,674.0,36.0,122.0,75.0,75.0,8.0,136.0,3826.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",20.0,33,True,2024-10-26 00:51:07.000,6.3.1,55.0,ftfy,conda-forge/ftfy,,,,25695.0,25124.0,https://pypi.org/project/ftfy,2024-10-26 00:50:33.000,571.0,4875752.0,4882326.0,https://anaconda.org/conda-forge/ftfy,2024-10-26 15:17:54.666,308995.0,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,, +203,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-12-12 11:34:50.000000,2024-08-14 20:32:21,1311.0,,812.0,315.0,1470.0,332.0,519.0,3524.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",156.0,33,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],285.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,285.0,1056245.0,1056245.0,,,,,,,,2.0,,,,,,,,,6.0,,,,,,,,,,, +204,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-10-29 23:52:22.089000,2024-10-29 11:59:38,2311.0,8.0,559.0,70.0,487.0,267.0,713.0,2387.0,Survival analysis in Python.,120.0,33,True,2024-10-29 12:00:41.000,0.30.0,172.0,lifelines,conda-forge/lifelines,,,,3320.0,3159.0,https://pypi.org/project/lifelines,2024-10-29 12:00:41.000,161.0,2517399.0,2524421.0,https://anaconda.org/conda-forge/lifelines,2024-10-29 23:52:22.089,386233.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +205,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-12-11 08:37:48.000000,2024-12-11 08:37:48,572.0,7.0,159.0,42.0,83.0,6.0,135.0,2075.0,a python library for doing approximate and phonetic matching of strings.,34.0,33,True,2024-12-03 18:34:46.000,1.1.2,45.0,jellyfish,conda-forge/jellyfish,,,,12028.0,11753.0,https://pypi.org/project/jellyfish,2024-12-03 18:34:46.000,275.0,6658389.0,6679208.0,https://anaconda.org/conda-forge/jellyfish,2024-12-04 15:11:07.831,1124235.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +206,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2024-12-12 06:34:23.000000,2024-12-09 20:32:14,3771.0,25.0,193.0,49.0,1403.0,134.0,742.0,2009.0,Ahead of Time compiler for numeric kernels.,73.0,33,True,2024-10-31 09:34:16.000,0.17.0,62.0,pythran,conda-forge/pythran,,,,2925.0,2904.0,https://pypi.org/project/pythran,2024-10-31 09:34:16.000,21.0,386422.0,401814.0,https://anaconda.org/conda-forge/pythran,2024-11-23 00:50:33.170,785009.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +207,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-12-07 20:37:29.000000,2024-12-07 20:37:29,1982.0,18.0,289.0,45.0,289.0,59.0,214.0,1575.0,TensorLy: Tensor Learning in Python.,69.0,33,True,2024-11-12 14:54:17.000,0.9.0,21.0,tensorly,conda-forge/tensorly,,,,931.0,832.0,https://pypi.org/project/tensorly,2024-11-12 14:54:17.000,99.0,227993.0,235400.0,https://anaconda.org/conda-forge/tensorly,2024-06-10 02:35:16.323,370353.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +208,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-12-05 15:39:58.000000,2024-12-05 15:39:58,1196.0,3.0,363.0,67.0,616.0,300.0,361.0,1494.0,A Jupyter - Leaflet.js bridge.,91.0,33,True,2024-07-22 08:02:59.000,0.19.2,84.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],13286.0,13002.0,https://pypi.org/project/ipyleaflet,2024-07-22 08:02:59.000,275.0,249553.0,279980.0,https://anaconda.org/conda-forge/ipyleaflet,2024-07-22 12:26:50.743,1320759.0,,,,,2.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-07-22 08:02:28.803,9.0,6414.0,,,,,,,,,,,,, +209,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-12-11 15:24:22.000000,2024-12-11 15:24:22,11608.0,51.0,246.0,55.0,12334.0,251.0,2220.0,984.0,Cloud-native genomic dataframes and batch computing.,97.0,33,True,2024-10-04 20:34:16.000,0.2.133,155.0,hail,,,,['spark'],187.0,153.0,https://pypi.org/project/hail,2024-10-04 20:34:16.000,34.0,266639.0,266639.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +210,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-10-29 16:47:11.000000,2024-10-29 16:47:10,533.0,2.0,2854.0,387.0,125.0,239.0,561.0,26033.0,Deezer source separation library including pretrained models.,21.0,32,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],858.0,846.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,12.0,26231.0,86050.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,98592.0,,,,,2.0,3608594.0,,,,,,,,,,,,,,,,,,, +211,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-11-24 16:22:12.000000,2024-11-24 16:21:28,335.0,14.0,3071.0,156.0,56.0,137.0,142.0,21025.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,32,True,2024-11-24 16:22:12.000,1.8.9,212.0,vit-pytorch,,,,['pytorch'],579.0,562.0,https://pypi.org/project/vit-pytorch,2024-11-24 16:22:12.000,17.0,28754.0,28754.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +212,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4706.0,1016.0,1869.0,363.0,658.0,17800.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1029.0,1019.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2724.0,2904.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,9215.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +213,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1137.0,340.0,1683.0,523.0,1294.0,11203.0,Turi Create simplifies the development of custom machine learning models.,87.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,388.0,383.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,16599.0,16730.0,,,,,,,,3.0,11080.0,,,,,,,,,,,,,,,,,,, +214,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2091.0,283.0,3401.0,51.0,1494.0,10500.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,219.0,32,False,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],269.0,260.0,https://pypi.org/project/parlai,2023-06-06 20:46:16.091,9.0,3772.0,3772.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-11-19 20:01:46.000000,2024-11-19 20:01:46,563.0,3.0,1215.0,172.0,438.0,68.0,474.0,8483.0,Automatic extraction of relevant features from time series:.,98.0,32,True,2024-08-03 20:51:43.000,0.20.3,32.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],114.0,21.0,https://pypi.org/project/tsfresh,2024-08-03 20:51:43.000,93.0,243275.0,268862.0,https://anaconda.org/conda-forge/tsfresh,2024-08-04 02:13:02.666,1407339.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +216,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-12-10 10:40:37.000000,2024-12-08 13:24:25,1269.0,29.0,884.0,61.0,1044.0,239.0,1349.0,8159.0,A python library for user-friendly forecasting and anomaly detection on time series.,125.0,32,True,2024-10-13 12:29:02.000,0.31.0,44.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,10.0,,https://pypi.org/project/u8darts,2024-10-13 12:29:02.000,10.0,74422.0,75995.0,https://anaconda.org/conda-forge/u8darts-all,2024-10-13 21:33:50.942,64022.0,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,922.0,2.0,,,,,,,,,,,,,,,,,,,, +217,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-12-09 12:00:57.000000,2024-12-09 11:51:02,387.0,9.0,1550.0,131.0,166.0,9.0,357.0,7974.0,A Python implementation of global optimization with gaussian processes.,47.0,32,True,2024-12-09 12:00:06.000,2.0.1,18.0,bayesian-optimization,,,,,3297.0,3145.0,https://pypi.org/project/bayesian-optimization,2024-12-09 12:00:06.000,152.0,408656.0,408657.0,,,,,,,,1.0,164.0,bayesian-optimization/BayesianOptimization,,,,,,,-1.0,,,,,,,,,,, +218,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-12-10 12:50:16.000000,2024-09-12 23:27:08,4682.0,,896.0,141.0,501.0,100.0,807.0,7316.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,32,True,2024-09-12 23:17:21.000,1.9.2,28.0,stanza,stanfordnlp/stanza,,,,3488.0,3313.0,https://pypi.org/project/stanza,2024-09-12 23:16:02.000,175.0,264404.0,264549.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,8267.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,, +219,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-06-27 17:56:28.000000,2024-06-27 17:56:21,2895.0,,2243.0,178.0,1152.0,27.0,1429.0,6792.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,192.0,32,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],325.0,302.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,23.0,15825.0,15825.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +220,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,,1811.0,196.0,206.0,13.0,1343.0,6303.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,False,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1669.0,1651.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,14938.0,15252.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,11870.0,,,,,3.0,187.0,,,,,,,,,,,,,,,,,,, +221,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-12-11 20:11:44.000000,2024-12-06 09:18:25,2229.0,20.0,321.0,45.0,2207.0,383.0,666.0,5260.0,Aim An easy-to-use & supercharged open-source experiment tracker.,77.0,32,True,2024-12-03 07:02:29.000,3.26.1,1173.0,aim,conda-forge/aim,,,,792.0,752.0,https://pypi.org/project/aim,2024-12-11 20:11:44.000,40.0,216223.0,218390.0,https://anaconda.org/conda-forge/aim,2024-06-14 16:22:37.168,88855.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +222,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-12-06 08:29:55.000000,2024-12-06 08:26:00,3944.0,32.0,552.0,85.0,635.0,122.0,500.0,5119.0,Online machine learning in Python.,124.0,32,True,2024-11-25 23:59:25.000,0.22.0,23.0,river,conda-forge/river,,,,671.0,607.0,https://pypi.org/project/river,2024-11-25 23:28:09.000,64.0,100585.0,102627.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,89888.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-08-14 15:31:25.000000,2023-11-23 21:41:49,1136.0,,648.0,89.0,272.0,42.0,253.0,4519.0,Geocoding library for Python.,133.0,32,False,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,901.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,901.0,6366472.0,6394811.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1530339.0,,,,,3.0,107.0,,,,,,,,,,,,,,,,,,, +224,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-11-20 21:17:10.552000,2024-06-17 19:23:44,491.0,,647.0,65.0,228.0,240.0,164.0,4431.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,32,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,7437.0,7303.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,134.0,765082.0,770684.0,https://anaconda.org/conda-forge/hnswlib,2024-11-20 21:17:10.552,268931.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +225,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-11-26 07:16:52.000000,2024-11-26 07:14:46,1352.0,4.0,383.0,70.0,376.0,103.0,460.0,4264.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",106.0,32,True,2024-11-26 07:16:52.000,0.8.7,31.0,sacred,conda-forge/sacred,,,,3368.0,3308.0,https://pypi.org/project/sacred,2024-11-26 07:16:52.000,60.0,364353.0,364550.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,7292.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +226,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-12-10 17:34:44.000000,2024-11-04 17:20:56,1301.0,4.0,2506.0,1942.0,537.0,390.0,1078.0,4113.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,32,True,2024-10-16 17:44:34.000,1.58.0,106.0,azureml-sdk,,,,,31.0,,https://pypi.org/project/azureml-sdk,2024-12-10 14:48:18.000,31.0,333857.0,333865.0,,,,,,,,2.0,657.0,,,,,,,,,,,,,,,,,,, +227,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/sktime/pytorch-forecasting,https://github.com/sktime/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-12-10 18:49:56.000000,2024-12-10 18:49:56,1922.0,27.0,633.0,45.0,919.0,482.0,312.0,4040.0,Time series forecasting with PyTorch.,59.0,32,True,2024-11-19 17:01:21.000,1.2.0,37.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,479.0,457.0,https://pypi.org/project/pytorch-forecasting,2024-11-19 17:01:21.000,22.0,61303.0,62642.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,68305.0,,,,,2.0,,sktime/pytorch-forecasting,,,,,,,,,,,,,,,,,, +228,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-12-05 17:02:55.000000,2024-12-05 17:02:46,1132.0,27.0,355.0,58.0,1405.0,123.0,185.0,3979.0,A Python toolbox for performing gradient-free optimization.,57.0,32,True,2024-12-01 08:46:15.000,1.0.8,51.0,nevergrad,conda-forge/nevergrad,,,,853.0,791.0,https://pypi.org/project/nevergrad,2024-12-01 08:46:15.000,62.0,122033.0,123059.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,56449.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +229,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-11-17 17:28:39.000000,2024-11-17 17:28:27,1360.0,6.0,322.0,59.0,247.0,70.0,450.0,3681.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,41.0,32,True,2024-07-09 04:43:23.000,1.13.0,29.0,stumpy,conda-forge/stumpy,,,,1002.0,972.0,https://pypi.org/project/stumpy,2024-07-09 04:21:56.000,30.0,283734.0,303054.0,https://anaconda.org/conda-forge/stumpy,2024-07-09 04:54:55.949,1043288.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +230,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-12-12 13:55:23.000000,2024-12-12 13:55:22,3907.0,10.0,562.0,58.0,922.0,380.0,982.0,3603.0,A highly efficient implementation of Gaussian Processes in PyTorch.,136.0,32,True,2024-09-06 21:42:56.000,1.13,41.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2684.0,2515.0,https://pypi.org/project/gpytorch,2024-09-06 21:48:53.000,169.0,231816.0,235200.0,https://anaconda.org/conda-forge/gpytorch,2024-09-07 18:14:18.267,186168.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +231,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-10-09 16:24:11.000000,2024-10-09 16:24:08,1187.0,1.0,1662.0,156.0,210.0,13.0,693.0,3493.0,A library for transfer learning by reusing parts of TensorFlow models.,107.0,32,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],303.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,303.0,2069693.0,2071798.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,109483.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-09-21 03:01:04.000000,2024-09-21 03:01:04,1581.0,21.0,450.0,93.0,127.0,92.0,348.0,3428.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,49.0,32,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1318.0,1255.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,63.0,488128.0,491400.0,https://anaconda.org/conda-forge/nmslib,2024-09-09 06:18:10.925,163604.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +233,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,628.0,79.0,80.0,74.0,162.0,3395.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,32,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,7834.0,7714.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,120.0,4154387.0,4157314.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,263434.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +234,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-12-12 02:06:36.000000,2024-12-03 08:43:35,1306.0,59.0,285.0,29.0,1168.0,73.0,515.0,3202.0,A python library for self-supervised learning on images.,60.0,32,True,2024-11-29 08:09:44.000,1.5.15,129.0,lightly,,,,['pytorch'],369.0,352.0,https://pypi.org/project/lightly,2024-11-29 08:09:44.000,17.0,59261.0,59261.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-12-12 14:54:21.000000,2024-11-22 15:34:26,1208.0,27.0,361.0,36.0,548.0,111.0,456.0,3162.0,Scalable and user friendly neural forecasting algorithms.,48.0,32,True,2024-11-22 15:43:51.000,1.7.6,27.0,neuralforecast,conda-forge/neuralforecast,,,,288.0,267.0,https://pypi.org/project/neuralforecast,2024-11-22 15:43:51.000,21.0,60706.0,61507.0,https://anaconda.org/conda-forge/neuralforecast,2024-11-22 21:25:57.787,26442.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-10-31 19:43:08.823000,2024-10-31 09:14:19,481.0,5.0,739.0,123.0,130.0,71.0,375.0,3082.0,"Hidden Markov Models in Python, with scikit-learn like API.",49.0,32,True,2024-10-31 09:03:22.000,0.3.3,14.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],3044.0,2952.0,https://pypi.org/project/hmmlearn,2024-10-31 09:03:22.000,92.0,1233685.0,1239721.0,https://anaconda.org/conda-forge/hmmlearn,2024-10-31 19:43:08.823,307869.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +237,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2024-12-12 10:34:48.000000,2024-12-12 10:34:41,996.0,11.0,232.0,37.0,556.0,72.0,177.0,2921.0,JAX-based neural network library.,84.0,32,True,2024-10-16 09:11:35.000,0.0.13,16.0,dm-haiku,conda-forge/dm-haiku,,,,2377.0,2202.0,https://pypi.org/project/dm-haiku,2024-10-16 09:11:35.000,175.0,280548.0,281100.0,https://anaconda.org/conda-forge/dm-haiku,2024-10-23 19:46:21.263,25434.0,,,,,3.0,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,,,, +238,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2024-06-05 12:17:25.116000,2021-10-12 13:32:38,1570.0,,545.0,63.0,546.0,318.0,393.0,2746.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-06-04 19:12:54.000,0.10.2,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,7386.0,7018.0,https://pypi.org/project/scikit-optimize,2024-06-04 19:12:54.000,368.0,1007643.0,1022170.0,https://anaconda.org/conda-forge/scikit-optimize,2024-06-05 12:17:25.116,755423.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +239,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2024-10-02 13:16:06.886000,2024-10-01 21:19:30,966.0,9.0,395.0,39.0,152.0,46.0,248.0,2415.0,A library of sklearn compatible categorical variable encoders.,70.0,32,True,2024-10-01 21:24:24.000,2.6.4,33.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2679.0,2395.0,https://pypi.org/project/category_encoders,2024-10-01 21:24:24.000,284.0,1529198.0,1536909.0,https://anaconda.org/conda-forge/category_encoders,2024-10-02 13:16:06.886,293044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-12-11 21:11:43.000000,2024-12-11 21:11:39,1855.0,290.0,207.0,48.0,290.0,180.0,164.0,2179.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",45.0,32,True,2024-12-11 21:09:01.000,0.35.1,196.0,graphistry,,,,['jupyter'],133.0,127.0,https://pypi.org/project/graphistry,2024-12-11 21:09:01.000,6.0,17742.0,17742.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +241,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-11-05 23:42:06.000000,2024-11-05 23:42:06,1611.0,5.0,285.0,56.0,143.0,83.0,194.0,1873.0,"CUDA integration for Python, plus shiny features.",82.0,32,True,2024-07-30 16:38:24.000,2024.1.2,55.0,pycuda,conda-forge/pycuda,,,,3453.0,3296.0,https://pypi.org/project/pycuda,2024-07-30 13:53:42.000,157.0,91417.0,106085.0,https://anaconda.org/conda-forge/pycuda,2024-08-17 22:59:08.823,660075.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +242,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-04-20 16:14:16.000000,2018-10-12 15:53:05,1251.0,,284.0,50.0,160.0,114.0,219.0,1630.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,12674.0,12462.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,212.0,1170516.0,1172165.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,155067.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,geocoder +243,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-11-13 21:41:20.000000,2024-11-07 23:05:03,1082.0,3.0,234.0,37.0,256.0,65.0,274.0,1602.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,32,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,10255.0,10102.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,153.0,2550190.0,2574581.0,https://anaconda.org/conda-forge/pmdarima,2024-07-14 16:03:51.778,1219577.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +244,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-12-10 01:49:14.000000,2024-11-05 17:47:01,1157.0,24.0,248.0,50.0,549.0,33.0,186.0,1343.0,ARCH models in Python.,35.0,32,False,2024-11-04 16:01:44.000,7.2.0,49.0,arch,conda-forge/arch-py,,,,2328.0,2215.0,https://pypi.org/project/arch,2024-11-04 16:01:44.000,113.0,813669.0,821916.0,https://anaconda.org/conda-forge/arch-py,2024-11-05 00:36:23.711,445385.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +245,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-12-11 16:25:11.000000,2024-12-11 16:25:11,733.0,23.0,109.0,26.0,591.0,365.0,462.0,1153.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",51.0,32,True,2024-10-17 08:19:52.000,0.11.1,78.0,hvplot,conda-forge/hvplot,,,,6442.0,6238.0,https://pypi.org/project/hvplot,2024-10-16 15:27:44.000,204.0,200772.0,213452.0,https://anaconda.org/conda-forge/hvplot,2024-10-17 10:29:45.764,684753.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-12-09 01:12:50.000000,2024-12-09 01:12:50,14284.0,262.0,295.0,34.0,1918.0,499.0,685.0,1077.0,Python package for earth-observing satellite data processing.,173.0,32,False,2024-11-08 15:43:09.000,0.53.0,99.0,satpy,conda-forge/satpy,,,,185.0,154.0,https://pypi.org/project/satpy,2024-11-08 15:43:09.000,31.0,14693.0,19100.0,https://anaconda.org/conda-forge/satpy,2024-11-09 03:23:38.486,238016.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +247,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-11-23 12:41:59.000000,2024-11-23 12:41:59,17309.0,30.0,111.0,28.0,3625.0,534.0,3416.0,547.0,"Keep code, data, containers under control with git and git-annex.",57.0,32,True,2024-11-18 18:37:49.000,1.1.4,120.0,datalad,conda-forge/datalad,,,,538.0,440.0,https://pypi.org/project/datalad,2024-11-18 18:37:49.000,98.0,64940.0,77600.0,https://anaconda.org/conda-forge/datalad,2024-11-20 02:36:29.417,683684.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-07-03 10:55:10.000000,2023-10-26 05:31:53,3012.0,,1816.0,284.0,3507.0,417.0,1684.0,14073.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,31,False,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,68.0,21.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,47.0,17249.0,17249.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2024-08-07 03:17:23.000000,2024-08-07 03:17:23,2667.0,,2074.0,184.0,1006.0,574.0,727.0,12766.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",70.0,31,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1803.0,1796.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,5631.0,5643.0,,,,,,,,2.0,835.0,,,,,,,,,,,,,,,,,,, +250,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-11-14 10:24:59.000000,2024-11-14 10:24:54,866.0,2.0,1299.0,423.0,90.0,32.0,161.0,9790.0,TensorFlow-based neural network library.,59.0,31,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1384.0,1365.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,19.0,19170.0,19773.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,36798.0,,,,,3.0,,google-deepmind/sonnet,,,,,,,,,,,,,,,,,, +251,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-07-25 10:51:05.000000,2024-02-23 19:03:07,2440.0,,1572.0,289.0,434.0,295.0,639.0,9770.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,31,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],3168.0,3130.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,38.0,43499.0,48665.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,278977.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2410.0,456.0,262.0,579.0,364.0,9621.0,Deep learning library featuring a higher-level API for TensorFlow.,145.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],5079.0,5065.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,14.0,4330.0,4330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +253,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,876.0,259.0,148.0,107.0,104.0,9229.0,Fuzzy String Matching in Python.,70.0,31,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,1211.0,21.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,1190.0,7764716.0,7770379.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,571971.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-11-05 17:02:12.000000,2024-11-05 17:02:12,1393.0,2.0,1399.0,301.0,897.0,145.0,759.0,9169.0,AutoML library for deep learning.,145.0,31,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],788.0,775.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,27037.0,27261.0,,,,,,,,2.0,19055.0,,,,,,,,,,,,,,,,,,, +255,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-12-09 10:07:11.000000,2024-12-09 10:07:11,1195.0,10.0,1401.0,100.0,667.0,735.0,527.0,8459.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,130.0,31,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2871.0,2871.0,,,,,7441.0,https://anaconda.org/conda-forge/nvidia-apex,2024-11-04 08:44:59.011,372096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +256,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2024-11-29 14:40:31.000000,2023-04-18 11:08:13,2759.0,,1282.0,214.0,725.0,201.0,829.0,7665.0,Automated Machine Learning with scikit-learn.,88.0,31,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],663.0,629.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,34.0,19163.0,19784.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,27354.0,,,,,2.0,67.0,,,,,,,,,,,,,,,,,,, +257,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-12-02 21:04:05.000000,2024-11-13 18:39:43,1380.0,1.0,878.0,158.0,1733.0,154.0,865.0,7297.0,An open source python library for automated feature engineering.,74.0,31,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,1918.0,1844.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,74.0,63397.0,67463.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,219590.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-11-26 20:42:35.000000,2024-11-26 20:42:35,3285.0,2.0,959.0,137.0,668.0,55.0,1163.0,7225.0,Python library for audio and music analysis.,124.0,31,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,1358.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1358.0,2976118.0,2991951.0,https://anaconda.org/conda-forge/librosa,2024-05-15 16:59:32.016,839188.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,, +259,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-11-26 06:34:46.000000,2024-11-26 06:34:41,2711.0,1.0,1151.0,211.0,1051.0,25.0,615.0,6749.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,31,True,2024-08-12 17:22:54.000,1.7.0,64.0,deeppavlov,,,,['tensorflow'],424.0,420.0,https://pypi.org/project/deeppavlov,2024-08-12 17:22:54.000,4.0,12291.0,12291.0,,,,,,,,2.0,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,,,, +260,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1760.0,305.0,296.0,161.0,267.0,5747.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1119.0,1105.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,14.0,9747.0,9921.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,14297.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2024-11-21 20:20:09.000000,2024-11-21 20:19:33,250.0,2.0,930.0,127.0,39.0,75.0,147.0,5641.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,31,True,2024-11-21 20:20:09.000,0.2.5,9.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],4338.0,4222.0,https://pypi.org/project/torchdiffeq,2024-11-21 20:20:09.000,116.0,848963.0,849305.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,18815.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +262,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2024-12-03 21:32:33.000000,2024-12-03 21:32:24,825.0,12.0,406.0,74.0,301.0,62.0,530.0,4791.0,Visualizer for pandas data structures.,30.0,31,True,2024-12-03 20:54:25.000,3.16.0,189.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1342.0,1294.0,https://pypi.org/project/dtale,2024-12-03 20:54:25.000,48.0,98483.0,105028.0,https://anaconda.org/conda-forge/dtale,2024-12-03 21:29:44.048,360011.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +263,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-06-24 13:34:47.000000,2022-01-27 13:24:16,139.0,,1026.0,152.0,116.0,162.0,79.0,4543.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,48489.0,48054.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,435.0,438676.0,442523.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,203932.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-12-12 14:49:34.000000,2024-12-12 09:40:31,15595.0,67.0,533.0,78.0,3687.0,914.0,1626.0,4286.0,cuML - RAPIDS Machine Learning Library.,178.0,31,True,2024-12-11 21:41:19.000,24.12.00,43.0,cuml,,,,,14.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,14.0,4021.0,4021.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,184.0,737.0,277.0,669.0,3425.0,DyNet: The Dynamic Neural Network Toolkit.,161.0,31,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,284.0,266.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,205578.0,205758.0,,,,,,,,3.0,17720.0,,,,,,,,,,,,,,,,,,, +266,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2024-10-09 08:38:40.000000,2024-10-09 08:38:39,344.0,5.0,335.0,65.0,78.0,20.0,124.0,3396.0,A Python Perceptual Image Hashing Module.,27.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,15400.0,15158.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,242.0,1522440.0,1526671.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,410422.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-11-26 20:47:58.000000,2024-05-03 16:54:19,704.0,,281.0,50.0,828.0,103.0,285.0,3210.0,PyTorch extensions for high performance and large scale training.,75.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],7119.0,6966.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,153.0,417322.0,426741.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,348524.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +268,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-12-12 08:04:56.000000,2024-12-12 01:51:50,8382.0,206.0,357.0,85.0,9837.0,97.0,349.0,3055.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",121.0,31,True,2024-11-22 21:17:18.000,0.38.0,601.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-11-22 21:35:10.000,4.0,19961.0,20216.0,,,,,,,,3.0,11496.0,,,,,,,,,,,,,,,,,,, +269,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2024-12-01 18:14:29.000000,2024-06-24 17:09:39,1087.0,,397.0,61.0,498.0,221.0,273.0,2862.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],4894.0,4779.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,115.0,365008.0,366113.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,44204.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-12-09 15:46:12.000000,2024-12-09 15:31:38,1700.0,57.0,335.0,37.0,367.0,38.0,185.0,2749.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,40.0,31,True,2024-12-09 15:46:12.000,2.7.5,48.0,shapash,,,,['jupyter'],189.0,185.0,https://pypi.org/project/shapash,2024-12-09 15:46:12.000,4.0,32485.0,32485.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-12-09 12:56:45.000000,2024-12-09 12:56:45,2995.0,79.0,1007.0,123.0,543.0,61.0,304.0,2595.0,IPython Parallel: Interactive Parallel Computing in Python.,114.0,31,False,2024-11-06 12:07:08.000,9.0.0,48.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],112.0,,https://pypi.org/project/ipyparallel,2024-11-06 12:07:08.000,112.0,546881.0,570059.0,https://anaconda.org/conda-forge/ipyparallel,2024-12-06 14:00:08.619,1158913.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-10-30 12:23:11.000000,2024-10-30 12:23:10,890.0,3.0,361.0,82.0,169.0,218.0,149.0,2362.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,53.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6939.0,6784.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,146.0,334985.0,339997.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,215837.0,,,,,2.0,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,1016.0,,,,,,,,,,,,, +273,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-12-01 14:51:06.000000,2024-12-01 14:50:58,561.0,10.0,428.0,92.0,119.0,78.0,265.0,2315.0,bt - flexible backtesting for Python.,34.0,31,True,2024-08-06 13:46:05.000,1.1.0,28.0,bt,conda-forge/bt,,,,1646.0,1636.0,https://pypi.org/project/bt,2024-08-06 00:08:14.000,10.0,9339.0,10575.0,https://anaconda.org/conda-forge/bt,2024-09-21 21:55:35.462,54409.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +274,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-12-08 02:44:42.000000,2024-12-08 02:34:34,962.0,30.0,143.0,25.0,441.0,163.0,312.0,2153.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,56.0,31,True,2024-12-08 02:44:42.000,0.11.10,54.0,equinox,,,,['jax'],1076.0,878.0,https://pypi.org/project/equinox,2024-12-08 02:44:38.000,198.0,297939.0,297939.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +275,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-12-12 11:35:01.000000,2024-12-11 15:58:59,2269.0,177.0,441.0,33.0,2442.0,322.0,121.0,1970.0,Pytorch domain library for recommendation systems.,303.0,31,True,2024-10-21 22:05:16.000,1.0.0-rc3,77.0,torchrec-nightly-cpu,,,,,157.0,157.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,33234.0,33234.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +276,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-12-09 11:19:11.000000,2024-12-09 11:19:06,1278.0,61.0,193.0,21.0,181.0,49.0,139.0,1898.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,30.0,31,True,2024-12-06 14:37:11.000,0.38.0,42.0,audiomentations,,,,,649.0,628.0,https://pypi.org/project/audiomentations,2024-12-06 14:37:11.000,21.0,50465.0,50465.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-12-10 17:22:29.000000,2024-12-10 17:09:05,735.0,6.0,345.0,46.0,392.0,71.0,244.0,1728.0,Training PyTorch models with differential privacy.,82.0,31,True,2024-08-03 10:32:52.000,1.5.2,24.0,opacus,conda-forge/opacus,,,['pytorch'],961.0,925.0,https://pypi.org/project/opacus,2024-08-03 10:32:52.000,36.0,121887.0,122435.0,https://anaconda.org/conda-forge/opacus,2024-08-05 12:31:17.057,19110.0,,,,,2.0,135.0,,,,,,,,,,,,,,,,,,, +278,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-11-10 13:22:24.000000,2024-11-10 13:22:22,2896.0,41.0,187.0,27.0,732.0,114.0,461.0,1704.0,A Python library for learning and evaluating knowledge graph embeddings.,41.0,31,True,2024-10-29 16:35:05.000,1.11.0,49.0,pykeen,,,,,282.0,263.0,https://pypi.org/project/pykeen,2024-10-29 16:25:52.000,19.0,15583.0,15587.0,,,,,,,,2.0,227.0,,,,,,,,-1.0,,,,,,,,,,, +279,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-09-03 20:56:01.000000,2024-04-15 22:25:34,1519.0,,612.0,57.0,1884.0,92.0,899.0,1694.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,31,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],371.0,,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,371.0,1191265.0,1191265.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +280,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-12-12 10:04:01.000000,2024-12-12 10:03:55,4479.0,190.0,52.0,172.0,597.0,153.0,493.0,1599.0,Multiplatform plotting library based on the Grammar of Graphics.,21.0,31,True,2024-10-25 16:22:16.000,4.5.1,82.0,lets-plot,,,,,165.0,151.0,https://pypi.org/project/lets-plot,2024-11-27 11:35:32.000,14.0,51955.0,51977.0,,,,,,,,2.0,1357.0,,,,,,,,,,,,,,,,,,, +281,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-12-07 19:03:02.000000,2024-12-07 19:02:56,953.0,4.0,431.0,86.0,237.0,57.0,242.0,1478.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,31,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,3137.0,2699.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,438.0,1202823.0,1211722.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,373790.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-12-12 11:32:34.000000,2024-12-12 11:30:03,1625.0,32.0,171.0,18.0,854.0,110.0,457.0,1370.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,109.0,31,True,2024-12-04 19:50:34.000,0.30.0,66.0,pyjanitor,conda-forge/pyjanitor,,,,804.0,768.0,https://pypi.org/project/pyjanitor,2024-12-04 19:50:29.000,36.0,98587.0,102661.0,https://anaconda.org/conda-forge/pyjanitor,2024-12-05 10:07:32.356,224073.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-11-18 14:47:40.000000,2024-11-18 14:47:37,4368.0,10.0,302.0,79.0,672.0,18.0,634.0,1346.0,PySAL: Python Spatial Analysis Library Meta-Package.,79.0,31,True,2024-07-30 17:42:50.000,24.07,41.0,pysal,conda-forge/pysal,,,,1749.0,1700.0,https://pypi.org/project/pysal,2024-07-30 17:42:53.000,49.0,35079.0,46232.0,https://anaconda.org/conda-forge/pysal,2024-07-30 21:31:48.610,591141.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +284,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/skforecast/skforecast,https://github.com/skforecast/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-12-12 14:19:36.000000,2024-11-28 09:24:18,4025.0,432.0,139.0,9.0,676.0,23.0,160.0,1185.0,Time series forecasting with machine learning models.,17.0,31,True,2024-11-11 13:34:47.000,0.14.0,29.0,skforecast,,,,['sklearn'],389.0,374.0,https://pypi.org/project/skforecast,2024-11-11 13:34:47.000,15.0,93025.0,93025.0,,,,,,,,2.0,,skforecast/skforecast,,,,,,,,,,,,,,,,,, +285,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2024-11-27 19:10:03.000000,2024-11-27 19:10:03,1176.0,38.0,216.0,23.0,158.0,30.0,205.0,1147.0,Survival analysis built on top of scikit-learn.,22.0,31,False,2024-11-04 10:57:40.000,0.23.1,30.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],698.0,661.0,https://pypi.org/project/scikit-survival,2024-11-04 10:57:40.000,37.0,192637.0,197227.0,https://anaconda.org/conda-forge/scikit-survival,2024-11-04 14:21:17.242,169859.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +286,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-11-22 20:17:36.000000,2024-11-22 20:17:36,3390.0,16.0,242.0,50.0,414.0,76.0,280.0,1074.0,"OpenCL integration for Python, plus shiny features.",96.0,31,True,2024-10-18 17:14:33.000,2024.3,103.0,pyopencl,conda-forge/pyopencl,,,,2263.0,2089.0,https://pypi.org/project/pyopencl,2024-10-18 17:25:30.000,174.0,85683.0,111444.0,https://anaconda.org/conda-forge/pyopencl,2024-10-22 02:56:13.460,1391129.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +287,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-10-10 16:48:51.000000,2024-10-10 16:48:51,1966.0,6.0,234.0,19.0,301.0,53.0,286.0,891.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",48.0,31,True,2024-08-19 16:35:23.000,1.5.1,49.0,salib,conda-forge/salib,,,,1471.0,1344.0,https://pypi.org/project/salib,2024-08-19 16:35:23.000,127.0,1102054.0,1105940.0,https://anaconda.org/conda-forge/salib,2024-09-20 11:56:36.472,194336.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,, +288,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-11-20 20:11:03.000000,2024-11-20 19:38:41,1094.0,10.0,174.0,35.0,118.0,25.0,65.0,764.0,Snowball compiler and stemming algorithms.,35.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,459.0,10.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,449.0,30844576.0,30934395.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,8981946.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-12-10 01:30:28.000000,2024-12-10 01:30:28,14711.0,171.0,434.0,58.0,2255.0,191.0,813.0,722.0,"DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization,..",167.0,31,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,1430.0,1307.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,123.0,37268.0,47760.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,535140.0,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,, +290,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-12-11 15:55:42.000000,2024-12-06 10:45:36,176528.0,2347.0,95.0,51.0,2402.0,72.0,307.0,688.0,TensorFlow ROCm port.,4743.0,31,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],9.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,9.0,7131.0,7131.0,,,,,,,,3.0,26.0,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,,,, +291,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4283.0,1249.0,557.0,840.0,2543.0,17534.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,5.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,3.0,987.0,1124.0,,,,,,,,3.0,14758.0,,,,,,,,,,,,,,,,,,, +292,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-12-06 03:12:54.000000,2024-12-03 04:02:11,2300.0,18.0,2885.0,198.0,3765.0,1260.0,4237.0,12903.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",181.0,30,True,2024-11-08 02:50:05.000,2.8.0,10.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,642.0,642.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-11-24 01:32:42.000000,2024-11-24 01:32:39,2968.0,9.0,2413.0,207.0,480.0,246.0,479.0,10235.0,FinRL: Financial Reinforcement Learning.,118.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,54.0,54.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1376.0,1376.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +294,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-12-11 20:27:52.000000,2024-12-10 06:29:10,1745.0,9.0,751.0,90.0,807.0,111.0,271.0,9818.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",53.0,30,False,2024-09-26 16:50:26.000,2.7.0,32.0,cleanlab,conda-forge/cleanlab,,,,426.0,408.0,https://pypi.org/project/cleanlab,2024-09-26 16:50:26.000,18.0,27550.0,28310.0,https://anaconda.org/conda-forge/cleanlab,2024-06-26 17:29:18.404,33452.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +295,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-08-03 09:45:20.000000,2024-02-20 22:38:05,385.0,,2159.0,290.0,98.0,311.0,446.0,8664.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1728.0,1709.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,14532.0,26557.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,8360.0,,,,,2.0,949451.0,,,,,,,,,,,,,,,,,,, +296,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-12-11 14:59:09.000000,2024-11-05 16:17:36,1095.0,3.0,390.0,81.0,543.0,61.0,460.0,5907.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,30,True,2024-05-27 15:25:43.000,1.0.0,20.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1563.0,1478.0,https://pypi.org/project/skorch,2024-05-27 15:23:17.000,85.0,148826.0,164311.0,https://anaconda.org/conda-forge/skorch,2024-05-30 08:55:05.943,789743.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +297,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-11-25 15:30:52.000000,2023-01-19 00:37:33,900.0,,1216.0,153.0,954.0,60.0,788.0,5850.0,Gluon CV Toolkit.,119.0,30,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,82064.0,82064.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-07-28 06:06:31.000000,2024-06-24 00:50:16,586.0,,1065.0,111.0,257.0,112.0,489.0,5537.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],4563.0,4443.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,120.0,295296.0,295893.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,22687.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +299,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-12-07 22:16:48.000000,2024-12-07 22:16:43,628.0,10.0,776.0,86.0,357.0,54.0,347.0,5131.0,Uplift modeling and causal inference with machine learning algorithms.,64.0,30,True,2024-10-01 06:25:01.000,0.15.2,25.0,causalml,,,,,237.0,235.0,https://pypi.org/project/causalml,2024-10-01 06:25:01.000,2.0,37745.0,37745.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +300,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2024-12-11 11:18:25.000000,2024-12-11 11:18:25,926.0,8.0,634.0,149.0,799.0,141.0,356.0,4793.0,Deep Learning Visualization Toolkit.,36.0,30,True,2024-10-30 02:46:42.000,3.0.0-beta,44.0,visualdl,,,,['paddle'],84.0,2.0,https://pypi.org/project/visualdl,2024-10-30 02:50:36.000,82.0,261492.0,261500.0,,,,,,,,2.0,476.0,,,,,,,,,,,,,,,,,,, +301,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-12-10 22:50:36.817000,2024-11-05 15:19:52,1478.0,5.0,755.0,77.0,1823.0,325.0,637.0,4671.0,Probabilistic time series modeling in Python.,117.0,30,True,2024-11-11 08:51:05.000,0.16.0,112.0,gluonts,anaconda/gluonts,,,['mxnet'],33.0,,https://pypi.org/project/gluonts,2024-11-11 08:51:05.000,33.0,857078.0,857107.0,https://anaconda.org/anaconda/gluonts,2024-12-10 22:50:36.817,1118.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-07-17 04:40:56.000000,2023-11-02 13:49:44,662.0,,933.0,151.0,132.0,139.0,104.0,4399.0,Technical Analysis Library using Pandas and Numpy.,34.0,30,False,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,4881.0,4774.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,107.0,181945.0,182624.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,31269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-11-25 02:57:39.000000,2024-11-01 16:12:42,3332.0,1.0,551.0,120.0,385.0,77.0,743.0,4165.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",72.0,30,True,2024-08-15 14:31:34.000,3.0.3,179.0,dedupe,conda-forge/dedupe,,,,364.0,345.0,https://pypi.org/project/dedupe,2024-08-15 14:31:34.000,19.0,92762.0,95136.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,85484.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,518.0,77.0,39.0,15.0,121.0,3985.0,Missing data visualization module for Python.,18.0,30,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,19494.0,19372.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,122.0,415859.0,457451.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,374334.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +305,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-12-11 00:58:36.000000,2024-11-25 19:03:51,1256.0,29.0,498.0,67.0,771.0,5.0,556.0,3814.0,On-device wake word detection powered by deep learning.,39.0,30,True,2024-08-27 00:05:29.000,3.0.3,35.0,pvporcupine,,,,,71.0,36.0,https://pypi.org/project/pvporcupine,2024-08-27 00:05:29.000,35.0,11471.0,11471.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-11-26 12:05:54.000000,2024-11-26 12:05:53,1223.0,15.0,411.0,50.0,95.0,140.0,522.0,3076.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",29.0,30,True,2024-11-12 09:10:30.000,1.1.14,97.0,mljar-supervised,conda-forge/mljar-supervised,,,,142.0,136.0,https://pypi.org/project/mljar-supervised,2024-11-12 09:10:30.000,6.0,10665.0,11299.0,https://anaconda.org/conda-forge/mljar-supervised,2024-11-12 15:10:26.203,26661.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-11-04 00:31:30.000000,2024-11-03 09:05:19,317.0,65.0,344.0,29.0,339.0,95.0,40.0,3035.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,18.0,30,True,2024-11-02 17:52:58.000,0.2.14-alpha.1,15.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],1176.0,1170.0,https://pypi.org/project/lazypredict,2024-11-02 17:53:53.000,6.0,17582.0,17677.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,3837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2024-07-26 07:25:11.554000,2024-07-01 04:53:53,1639.0,,342.0,60.0,194.0,139.0,197.0,2923.0,The machine learning toolkit for time series analysis in Python.,43.0,30,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1616.0,1537.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,79.0,401575.0,428652.0,https://anaconda.org/conda-forge/tslearn,2024-07-26 07:25:11.554,1462163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-11-21 10:00:25.000000,2024-11-21 08:56:49,1959.0,78.0,143.0,29.0,371.0,62.0,112.0,2306.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",57.0,30,True,2024-11-21 10:00:25.000,2.16.6,132.0,usearch,,unum/usearch,,,179.0,142.0,https://pypi.org/project/usearch,2024-11-21 10:00:25.000,23.0,325235.0,333717.0,,,,https://hub.docker.com/r/unum/usearch,2024-11-21 09:01:45.281389,1.0,165.0,3.0,38067.0,,usearch,https://www.npmjs.com/package/usearch,2024-11-21 09:05:02.079,14.0,6361.0,,,,,,,,,,,,, +310,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-09-17 00:19:55.000000,2024-09-17 00:19:55,953.0,1.0,260.0,47.0,352.0,220.0,141.0,2058.0,Evaluate: A library for easily evaluating machine learning models and datasets.,129.0,30,True,2024-09-11 10:17:30.000,0.4.3,16.0,evaluate,,,,,15678.0,15275.0,https://pypi.org/project/evaluate,2024-09-11 10:15:30.000,403.0,2835732.0,2835732.0,,,,,,,,2.0,,,,,,,,,-1.0,,,,,,,,,,, +311,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-11-25 08:44:55.000000,2024-11-25 08:44:55,211.0,1.0,254.0,56.0,79.0,52.0,232.0,2026.0,A Python wrapper for the tesseract-ocr API.,30.0,30,True,2024-08-26 20:21:57.000,2.7.1,22.0,tesserocr,conda-forge/tesserocr,,,,1175.0,1139.0,https://pypi.org/project/tesserocr,2024-08-26 20:21:57.000,36.0,84898.0,88737.0,https://anaconda.org/conda-forge/tesserocr,2024-09-13 13:36:57.070,203196.0,,,,,2.0,682.0,,,,,,,,,,,,,,,,,,, +312,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-12-12 08:58:31.000000,2024-12-12 08:58:30,916.0,38.0,425.0,39.0,949.0,160.0,330.0,1971.0,A Python package to assess and improve fairness of machine learning models.,89.0,30,True,2024-12-11 12:38:14.000,0.12.0,22.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],66.0,3.0,https://pypi.org/project/fairlearn,2024-12-11 11:29:34.000,63.0,200006.0,200792.0,https://anaconda.org/conda-forge/fairlearn,2024-11-04 09:16:48.714,38535.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-11-23 21:58:13.000000,2024-11-23 21:58:13,1066.0,6.0,228.0,52.0,213.0,32.0,292.0,1723.0,A full spaCy pipeline and models for scientific/biomedical documents.,37.0,30,True,2024-10-27 05:43:35.000,0.5.5,16.0,scispacy,,,,,1042.0,1008.0,https://pypi.org/project/scispacy,2024-10-27 05:43:35.000,34.0,21359.0,21359.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-12-08 12:55:17.000000,2024-12-08 12:55:17,1260.0,6.0,140.0,31.0,123.0,42.0,269.0,1653.0,Statistical package in Python based on Pandas.,48.0,30,False,2024-09-04 10:48:32.000,0.5.5,41.0,pingouin,conda-forge/pingouin,,,,2738.0,2582.0,https://pypi.org/project/pingouin,2024-09-04 10:42:50.000,156.0,158711.0,161375.0,https://anaconda.org/conda-forge/pingouin,2024-09-04 22:25:36.166,143866.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +315,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-12-12 15:09:12.000000,2024-12-12 14:49:38,2335.0,248.0,161.0,12.0,1005.0,98.0,963.0,1630.0,"dstack is a lightweight, open-source alternative to Kubernetes & Slurm, simplifying AI container orchestration with..",49.0,30,True,2024-12-12 11:09:56.000,0.18.30,248.0,dstack,,,,,17.0,17.0,https://pypi.org/project/dstack,2024-12-12 10:51:57.000,,10586.0,10586.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2024-11-21 00:34:31.332000,2023-09-26 23:11:11,163.0,,201.0,34.0,75.0,29.0,52.0,1590.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,30,False,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],4176.0,4139.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,37.0,1998247.0,1998919.0,https://anaconda.org/conda-forge/torchsde,2024-11-21 00:34:31.332,31586.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +317,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-11-25 22:37:09.000000,2024-11-25 22:31:52,1041.0,36.0,601.0,103.0,296.0,22.0,300.0,1578.0,Execute Python code on the fly and display results in Tableau visualizations:.,51.0,30,True,2024-11-25 22:37:09.000,2.13.0,36.0,tabpy,anaconda/tabpy-client,,,,192.0,190.0,https://pypi.org/project/tabpy,2024-11-25 22:37:09.000,2.0,8110.0,8161.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4735.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +318,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-12-05 18:19:53.000000,2024-12-05 18:19:53,10802.0,20.0,245.0,40.0,1509.0,208.0,358.0,1273.0,Computations and statistics on manifolds with geometric structures.,93.0,30,True,2024-09-09 17:46:06.000,2.8.0,33.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,142.0,130.0,https://pypi.org/project/geomstats,2024-09-09 17:41:39.000,12.0,3528.0,3672.0,https://anaconda.org/conda-forge/geomstats,2024-09-10 11:38:37.614,4332.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +319,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-12-05 02:06:57.000000,2024-11-27 18:24:47,1528.0,45.0,280.0,68.0,110.0,38.0,55.0,1258.0,Model analysis tools for TensorFlow.,59.0,30,True,2024-11-27 19:31:49.000,0.47.1,59.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",19.0,,https://pypi.org/project/tensorflow-model-analysis,2024-12-05 02:06:57.000,19.0,265643.0,265643.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +320,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-12-11 19:02:58.000000,2024-12-10 17:11:38,16701.0,81.0,379.0,45.0,1655.0,315.0,2984.0,929.0,An open-source application for biological image analysis.,144.0,30,True,2024-09-27 21:18:50.000,4.2.8,35.0,cellprofiler,,,,,28.0,26.0,https://pypi.org/project/cellprofiler,2024-09-16 19:44:11.000,2.0,1540.0,1602.0,,,,,,,,2.0,8156.0,,,,,,,,,,,,,,,,,,, +321,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-10-25 20:18:31.000000,2024-10-25 20:18:28,500.0,5.0,122.0,32.0,132.0,25.0,76.0,927.0,Python bindings and utilities for GeoJSON.,58.0,30,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,19561.0,18860.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,701.0,3136859.0,3177126.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,885895.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +322,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-3-Clause,2013-09-05 14:44:25.000,2024-12-09 14:39:05.000000,2024-12-09 14:38:38,3221.0,36.0,120.0,16.0,323.0,8.0,183.0,821.0,Python bindings for MPI.,27.0,30,True,2024-10-11 10:59:53.000,4.0.1,30.0,mpi4py,conda-forge/mpi4py,,,,750.0,,https://pypi.org/project/mpi4py,2024-10-11 10:59:53.000,750.0,448713.0,512711.0,https://anaconda.org/conda-forge/mpi4py,2024-10-12 13:31:50.789,3173090.0,,,,,2.0,28509.0,,,,,,,,,,,,,,,,,,, +323,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-12-04 06:22:16.000000,2024-12-04 06:22:16,575.0,9.0,111.0,17.0,199.0,125.0,139.0,722.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",37.0,30,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,48182.0,47402.0,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,780.0,3653717.0,3653879.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,21086.0,,,,,,,,,,,,,,,,,,, +324,tinytag,devsnd/tinytag,audio,,https://github.com/tinytag/tinytag,https://github.com/tinytag/tinytag,MIT,2014-01-27 15:27:01.000,2024-12-05 16:38:59.000000,2024-12-05 16:38:59,635.0,62.0,102.0,24.0,115.0,4.0,113.0,713.0,Python library for reading audio file metadata.,27.0,30,True,2024-11-03 22:13:25.000,2.0.0,42.0,tinytag,,,,,1225.0,1112.0,https://pypi.org/project/tinytag,2024-11-03 15:25:04.000,113.0,61310.0,61310.0,,,,,,,,2.0,,tinytag/tinytag,,,,,,,,,,,,,,,,,, +325,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-12-11 19:37:56.000000,2024-07-01 21:47:36,1690.0,,288.0,42.0,1443.0,293.0,371.0,711.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",110.0,30,True,2024-07-01 23:45:56.000,0.37.1,45.0,tensorflow-io,,,,['tensorflow'],61.0,,https://pypi.org/project/tensorflow-io,2024-07-01 23:43:17.000,61.0,1260360.0,1260360.0,,,,,,,,2.0,,,,,,,,,6.0,,,,,,,,,,, +326,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2024-12-12 14:52:42.000000,2024-12-10 15:39:12,596.0,3.0,38.0,10.0,76.0,11.0,26.0,219.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,14.0,30,False,2024-12-10 15:41:01.000,1.0.2,50.0,blis,conda-forge/cython-blis,,,,53151.0,53041.0,https://pypi.org/project/blis,2024-12-10 15:41:01.000,110.0,13170994.0,13217106.0,https://anaconda.org/conda-forge/cython-blis,2024-10-23 06:29:06.515,2351478.0,,,,,2.0,335.0,,,,,,,,,,,,,,,,,,, +327,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2024-08-01 21:31:33.000000,2020-01-31 13:06:18,347.0,,4881.0,643.0,375.0,504.0,436.0,15881.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,29,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,600.0,597.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,1481.0,1481.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +328,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-12-12 14:18:28.000000,2024-12-09 07:45:31,2000.0,5.0,2662.0,300.0,945.0,250.0,695.0,15723.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",134.0,29,True,2024-05-24 08:18:55.000,0.9.5,34.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-05-24 08:18:55.000,1.0,5102.0,5116.0,,,,,,,,2.0,735.0,,,,,,,,,,,,,,,,,,, +329,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1834.0,214.0,46.0,101.0,94.0,9044.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],86.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,66.0,212227.0,213076.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,45853.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +330,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-11-25 05:19:58.903000,2024-11-24 16:18:39,1063.0,25.0,935.0,140.0,758.0,135.0,347.0,7182.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,99.0,29,True,2024-11-24 07:33:52.000,0.12,16.0,dowhy,conda-forge/dowhy,,,,485.0,467.0,https://pypi.org/project/dowhy,2024-11-24 07:36:17.000,18.0,58996.0,59728.0,https://anaconda.org/conda-forge/dowhy,2024-11-25 05:19:58.903,35885.0,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,, +331,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1389.0,190.0,786.0,45.0,423.0,6217.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,29,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],778.0,771.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,2214.0,2390.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,9529.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +332,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-12-02 21:29:39.000000,2024-12-02 21:29:38,1651.0,16.0,831.0,146.0,1588.0,382.0,403.0,5079.0,Simple and Distributed Machine Learning.,121.0,29,True,2024-10-16 04:33:49.000,1.0.8,58.0,synapseml,,,,,5.0,,https://pypi.org/project/synapseml,2024-10-16 04:33:49.000,5.0,270108.0,270108.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +333,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2024-06-24 09:15:15.000000,2022-07-07 05:16:43,738.0,,463.0,42.0,126.0,76.0,154.0,4473.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1539.0,1474.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,65.0,430499.0,431181.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,28669.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +334,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-11-27 17:22:07.000000,2024-11-27 17:22:07,519.0,4.0,594.0,44.0,548.0,10.0,,4170.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,48.0,29,True,2024-11-22 07:20:28.000,0.11.19,104.0,sahi,conda-forge/sahi,,,,1553.0,1523.0,https://pypi.org/project/sahi,2024-11-22 07:20:28.000,30.0,156233.0,159010.0,https://anaconda.org/conda-forge/sahi,2024-11-25 03:07:18.688,81304.0,,,,,3.0,29354.0,,,,,,,,,,,,,,,,,,, +335,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-08-08 18:40:13.000000,2024-01-12 14:48:30,249.0,,283.0,44.0,51.0,28.0,97.0,4088.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,6564.0,6414.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,150.0,607258.0,613299.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,296018.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +336,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-12-08 15:35:06.000000,2024-12-08 15:26:28,921.0,41.0,441.0,43.0,1016.0,27.0,351.0,3997.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",55.0,29,True,2024-10-21 08:40:28.000,0.10.0,17.0,python-doctr,,,,"['tensorflow', 'pytorch']",12.0,,https://pypi.org/project/python-doctr,2024-10-21 08:40:28.000,12.0,43406.0,139243.0,,,,,,,,3.0,4408504.0,,,,,,,,,,,,,,,,,,, +337,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-12-12 14:51:54.000000,2024-11-05 10:29:23,704.0,29.0,682.0,39.0,1022.0,147.0,805.0,3888.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",81.0,29,True,2024-10-31 09:00:44.000,1.2.0,33.0,anomalib,,,,,123.0,118.0,https://pypi.org/project/anomalib,2024-10-31 09:01:10.000,5.0,35921.0,36344.0,,,,,,,,2.0,15244.0,,,,,,,,,,,,,,,,,,, +338,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-12-12 14:01:36.000000,2024-12-12 14:01:36,1495.0,8.0,255.0,22.0,1759.0,260.0,727.0,3649.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-12-05 12:59:32.000,0.19.0,61.0,deepchecks,,,,,482.0,470.0,https://pypi.org/project/deepchecks,2024-12-05 12:59:23.000,12.0,43883.0,43916.0,,,,,,,,2.0,1275.0,,,,,,,,,,,,,,,,,,, +339,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-11-26 10:36:04.000000,2024-10-22 15:05:01,3667.0,4.0,464.0,102.0,1064.0,270.0,368.0,3633.0,Plotting library for IPython/Jupyter notebooks.,65.0,29,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,,['jupyter'],179.0,59.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,99.0,222469.0,250878.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1432950.0,,,,,3.0,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,21.0,2356.0,,,,,,,,,,,,, +340,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-08-23 13:53:47.619000,2023-11-21 21:15:59,435.0,,612.0,77.0,230.0,95.0,404.0,3581.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,29,False,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1621.0,1592.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,29.0,193898.0,212950.0,https://anaconda.org/conda-forge/implicit,2024-08-23 13:53:47.619,969431.0,,,,,2.0,1554.0,,,,,,,,,,,,,,,,,,, +341,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-11-22 12:08:36.000000,2024-10-22 19:55:17,1581.0,61.0,357.0,68.0,1455.0,116.0,88.0,3498.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,38.0,29,True,2024-10-22 20:02:07.000,1.3,19.0,lit-nlp,conda-forge/lit-nlp,,,,45.0,42.0,https://pypi.org/project/lit-nlp,2024-10-22 19:57:27.000,3.0,8689.0,10617.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,98333.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-09-09 06:24:01.000000,2024-09-09 06:24:01,415.0,,250.0,64.0,56.0,9.0,,3404.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",17.0,29,True,2024-07-16 09:36:19.000,4.6.3,29.0,textdistance,conda-forge/textdistance,,,,7623.0,7524.0,https://pypi.org/project/textdistance,2024-07-16 09:34:51.000,99.0,791507.0,805521.0,https://anaconda.org/conda-forge/textdistance,2024-07-17 15:04:16.210,686102.0,,,,,2.0,1050.0,,,,,,,,,,,,,,,,,,, +343,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,96.0,1045.0,260.0,297.0,2560.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1669.0,1647.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,117451.0,117451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +344,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-07-18 15:45:47.000000,2024-06-20 19:30:24,1373.0,,326.0,23.0,50.0,35.0,203.0,2319.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,29,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,583.0,573.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,66424.0,67611.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,57023.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +345,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-12-12 07:42:56.000000,2024-12-11 16:12:58,739.0,12.0,225.0,41.0,561.0,140.0,235.0,2261.0,"Algorithms for outlier, adversarial and drift detection.",26.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,505.0,498.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,80609.0,80609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-10-08 16:09:34.000000,2024-10-08 16:09:34,62.0,6.0,526.0,43.0,29.0,49.0,81.0,2250.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",16.0,29,True,2024-10-08 01:42:18.000,1.0.0,12.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],6774.0,6701.0,https://pypi.org/project/mtcnn,2024-10-08 01:42:18.000,73.0,147715.0,147959.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,13771.0,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,, +347,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-12-01 14:51:14.000000,2024-12-01 14:51:07,495.0,10.0,300.0,68.0,127.0,22.0,107.0,2057.0,ffn - a financial function library for Python.,35.0,29,True,2024-11-02 20:02:17.000,1.1.1,38.0,ffn,conda-forge/ffn,,,,528.0,510.0,https://pypi.org/project/ffn,2024-11-02 20:01:43.000,18.0,18432.0,18743.0,https://anaconda.org/conda-forge/ffn,2024-11-03 02:53:44.505,13718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-12-09 11:29:41.000000,2024-10-04 09:56:03,2451.0,1.0,435.0,76.0,1271.0,154.0,682.0,1852.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-06-17 13:05:05.000,2.9.2,50.0,gpflow,conda-forge/gpflow,,,['tensorflow'],740.0,705.0,https://pypi.org/project/gpflow,2024-06-17 13:05:05.000,35.0,67523.0,68623.0,https://anaconda.org/conda-forge/gpflow,2024-06-26 16:24:01.852,37407.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +349,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-07-09 19:44:03.000000,2024-04-29 20:57:51,290.0,,359.0,47.0,80.0,78.0,113.0,1810.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,42.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6801.0,6698.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,103.0,139776.0,140914.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,88836.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-10-29 10:43:38.000000,2024-10-29 10:43:38,3929.0,17.0,293.0,30.0,580.0,102.0,722.0,1799.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,80.0,29,True,2024-10-29 08:53:47.000,0.6.0,9.0,avalanche-lib,,,,,117.0,114.0,https://pypi.org/project/avalanche-lib,2024-10-29 08:52:52.000,3.0,1588.0,1588.0,,,,,,,,2.0,43.0,,,,,,,,,,,,,,,,,,, +351,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-12-11 20:40:27.070000,2024-06-05 08:42:47,1478.0,,166.0,31.0,252.0,,,1354.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,29,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],2069.0,1982.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,87.0,265821.0,267898.0,https://anaconda.org/conda-forge/spacy-transformers,2024-12-11 20:40:27.070,76874.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2024-11-19 00:49:33.596000,2024-09-18 16:03:14,147.0,3.0,125.0,24.0,111.0,50.0,79.0,1323.0,Python 3.8+ toolbox for submitting jobs to Slurm.,25.0,29,True,2024-09-18 16:05:09.000,1.5.2,24.0,submitit,conda-forge/submitit,,,,3686.0,3637.0,https://pypi.org/project/submitit,2024-09-18 16:05:09.000,49.0,448743.0,449591.0,https://anaconda.org/conda-forge/submitit,2024-11-19 00:49:33.596,44143.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-12-09 13:54:05.000000,2024-11-28 13:15:08,859.0,24.0,77.0,26.0,417.0,112.0,243.0,600.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-11-29 08:29:27.000,1.13.1,69.0,geoviews,conda-forge/geoviews,,,,1228.0,1165.0,https://pypi.org/project/geoviews,2024-11-28 13:21:28.000,63.0,20090.0,25274.0,https://anaconda.org/conda-forge/geoviews,2024-11-29 08:35:30.009,264422.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +354,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2024-11-27 19:58:05.000000,2024-11-04 14:58:06,2103.0,8.0,64.0,16.0,1639.0,25.0,217.0,590.0,The experiment tracker for foundation model training.,55.0,29,True,2024-10-31 09:03:43.000,1.13.0,211.0,neptune-client,conda-forge/neptune-client,,,,766.0,689.0,https://pypi.org/project/neptune-client,2024-10-31 09:03:43.000,77.0,535200.0,540628.0,https://anaconda.org/conda-forge/neptune-client,2024-10-31 15:38:08.903,298554.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +355,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-09-03 10:05:52.331000,2023-12-15 12:50:52,282.0,,107.0,25.0,54.0,37.0,57.0,495.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,29,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,26676.0,26541.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,135.0,2194406.0,2212614.0,https://anaconda.org/conda-forge/audioread,2024-09-03 10:05:52.331,910413.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +356,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-08-19 17:47:36.000000,2023-04-19 14:13:08,2404.0,,3895.0,618.0,233.0,53.0,,15103.0,Python Backtesting library for trading strategies.,56.0,28,False,,,157.0,backtrader,,,,,2560.0,2486.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,74.0,46486.0,46486.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +357,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-11-04 14:34:30.000000,2024-11-04 14:34:28,348.0,6.0,1377.0,424.0,51.0,105.0,88.0,10588.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2024-10-31 13:26:46.000,4.1.2,50.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-10-31 13:26:46.000,10.0,26424.0,26424.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-12-05 15:25:11.000000,2024-09-10 20:43:30,1626.0,,814.0,140.0,1572.0,122.0,125.0,8114.0,Trax Deep Learning with Clear Code and Speed.,80.0,28,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,195.0,194.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4171.0,4171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +359,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-07-23 16:54:42.000000,2023-04-19 16:47:52,581.0,,1146.0,347.0,81.0,51.0,231.0,8042.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,885.0,859.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,3115.0,3480.0,,,,,,,,3.0,32144.0,google-deepmind/pysc2,,,,,,,,,,,,,,,,,, +360,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,MIT,2013-04-05 23:14:27.000,2024-12-03 17:50:20.000000,2024-12-03 17:50:20,6627.0,1.0,1586.0,626.0,2112.0,453.0,1338.0,6340.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",124.0,28,True,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,2668.0,2668.0,,,,,,,,3.0,13.0,numenta/nupic-legacy,,,,,,,,,,,,,,,,,, +361,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1196.0,210.0,92.0,201.0,123.0,5918.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,28,False,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,548.0,536.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,17605.0,17605.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +362,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1364.0,200.0,158.0,49.0,227.0,5529.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],802.0,796.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1117.0,1117.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +363,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2024-08-15 06:26:34.000000,2022-08-06 21:47:18,182.0,,474.0,74.0,63.0,112.0,57.0,4956.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,3413.0,3391.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,22.0,514643.0,514643.0,,,,,,,,3.0,,,,,,,,,6.0,,,,,,,,,,, +364,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-07-24 18:48:54.000000,2023-04-30 18:36:20,483.0,,686.0,87.0,209.0,157.0,358.0,4785.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,28,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1649.0,1617.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,342649.0,345512.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,237655.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +365,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-12-05 17:20:36.000000,2024-11-06 20:27:19,6178.0,13.0,528.0,147.0,1950.0,338.0,1386.0,4587.0,ArrayFire: a general purpose GPU library.,94.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,2997.0,3062.0,,,,,,,,2.0,7480.0,,,,,,,,,,,,,,,,,,, +366,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,413.0,37.0,57.0,138.0,44.0,4020.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],17475.0,17340.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,135.0,214994.0,214994.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +367,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,949.0,217.0,408.0,139.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1081.0,1069.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,1938.0,1938.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +368,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-16 18:13:04.000000,2024-05-16 18:13:03,456.0,,526.0,114.0,93.0,23.0,101.0,3533.0,Module for automatic summarization of text documents and HTML pages.,32.0,28,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,3361.0,3330.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,31.0,234209.0,234450.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,10124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +369,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,390.0,46.0,1086.0,4.0,353.0,3300.0,Accelerated deep learning R&D.,104.0,28,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1253.0,1223.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,41242.0,41242.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +370,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,450.0,82.0,245.0,69.0,155.0,3073.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,28,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,210.0,207.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,3.0,45542.0,45543.0,,,,,,,,2.0,94.0,,,,,,,,,,,,,,,,,,, +371,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2024-07-03 14:15:42.000000,2021-02-25 05:05:09,452.0,,676.0,108.0,74.0,102.0,123.0,3035.0,Productivity Tools for Plotly + Pandas.,39.0,28,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],12643.0,12534.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,109.0,55588.0,55588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-08-29 16:58:41.000000,2024-08-29 16:58:41,621.0,,335.0,46.0,121.0,72.0,137.0,2983.0,A python library for decision tree visualization and model interpretation.,27.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1421.0,1368.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,53.0,116564.0,118412.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,90588.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +373,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-10-23 10:52:14.000000,2024-10-23 10:52:14,3642.0,13.0,524.0,110.0,364.0,388.0,690.0,2885.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,28,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,848.0,828.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,11244.0,11244.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +374,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-12-12 13:40:00.000000,2024-12-12 13:39:24,2308.0,5.0,722.0,81.0,206.0,200.0,469.0,2816.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",152.0,28,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],14.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,14.0,40055.0,40055.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +375,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-11-15 23:43:58.000000,2024-11-15 23:43:54,3557.0,5.0,334.0,154.0,1184.0,35.0,60.0,2729.0,Neural Network Libraries.,76.0,28,True,2024-05-29 05:14:17.000,1.39.0,79.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2024-05-29 02:51:02.000,44.0,10623.0,10634.0,,,,,,,,3.0,989.0,,,,,,,,,,,,,,,,,,, +376,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-08-20 05:47:39.000000,2018-08-19 12:37:47,130.0,,284.0,64.0,61.0,31.0,39.0,2430.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],5799.0,5714.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,85.0,496193.0,498334.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,190637.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +377,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,45.0,57.0,70.0,210.0,2372.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,28,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],364.0,357.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,10194.0,10194.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,315.0,65.0,15.0,28.0,47.0,2324.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,12036.0,11881.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,155.0,379094.0,379094.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +379,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-12-12 10:58:49.000000,2023-06-01 12:18:23,739.0,,321.0,45.0,44.0,99.0,56.0,2238.0,A modular active learning framework for Python.,20.0,28,False,2024-12-12 10:58:49.000,0.68.3,1522.0,modAL,,,,['sklearn'],72.0,,https://pypi.org/project/modAL,2024-12-12 10:58:49.000,72.0,567643.0,567643.0,,,,,,,,3.0,45.0,,,,,,,,,,,,,,,,,,, +380,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-11-27 03:21:54.000000,2024-11-16 15:29:06,2316.0,83.0,135.0,28.0,271.0,5.0,43.0,2073.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-09-15 02:15:00.000,0.5.3,147.0,labml,,,,,207.0,193.0,https://pypi.org/project/labml,2024-09-15 02:15:00.000,14.0,7215.0,7215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +381,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-12-09 19:08:18.000000,2024-12-09 19:08:18,677.0,2.0,400.0,41.0,64.0,30.0,273.0,1959.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,2145.0,2123.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,42780.0,43621.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,42939.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +382,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,279.0,40.0,495.0,172.0,151.0,1803.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,28,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,199.0,191.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,161714.0,161720.0,,,,,,,,3.0,537.0,,,,,,,,,,,,,,,,,,, +383,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-09-08 19:48:30.000000,2024-09-08 00:19:34,1851.0,,387.0,50.0,136.0,29.0,435.0,1752.0,Reinforcement Learning environments based on the 1993 game Doom.,55.0,28,True,2024-08-20 10:48:59.000,1.2.4,30.0,vizdoom,,,,,295.0,280.0,https://pypi.org/project/vizdoom,2024-08-20 10:48:59.000,15.0,5571.0,5686.0,,,,,,,,2.0,12116.0,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,,,, +384,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2024-12-12 12:15:22.000000,2024-11-04 09:55:10,833.0,2.0,323.0,120.0,788.0,229.0,168.0,1500.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",86.0,28,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],45.0,,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,45.0,779977.0,779977.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +385,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-12-09 01:42:19.000000,2024-10-15 17:52:15,3072.0,10.0,124.0,36.0,375.0,9.0,191.0,1459.0,Multi-class confusion matrix library in Python.,17.0,28,True,2024-10-17 14:28:07.000,4.1,45.0,pycm,,,,,380.0,356.0,https://pypi.org/project/pycm,2024-10-17 14:28:28.000,24.0,44682.0,44682.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +386,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-11-06 15:43:29.000000,2024-11-06 15:43:27,1077.0,17.0,122.0,24.0,116.0,36.0,57.0,1405.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",24.0,28,True,2024-10-15 14:24:34.000,2.0.0,50.0,imodels,,,,,119.0,110.0,https://pypi.org/project/imodels,2024-10-15 14:23:49.000,9.0,162202.0,162202.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +387,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-10-02 18:05:47.000000,2024-10-02 18:05:45,687.0,9.0,166.0,50.0,164.0,24.0,384.0,1390.0,moDel Agnostic Language for Exploration and eXplanation.,26.0,28,False,2024-10-02 18:03:07.000,1.7.1,28.0,dalex,conda-forge/dalex,,,,197.0,190.0,https://pypi.org/project/dalex,2024-10-02 18:03:07.000,7.0,24273.0,24662.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,18316.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +388,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-12-05 11:46:30.000000,2024-11-17 22:14:08,415.0,7.0,184.0,25.0,41.0,1.0,132.0,1291.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,28,True,2024-11-17 22:13:50.000,0.14.0,61.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],658.0,640.0,https://pypi.org/project/prince,2024-11-17 22:13:50.000,18.0,145388.0,145744.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,21746.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +389,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-12-12 12:43:54.000000,2024-12-08 20:34:04,545.0,10.0,118.0,23.0,399.0,43.0,291.0,1289.0,Extra blocks for scikit-learn pipelines.,68.0,28,True,2024-11-26 14:09:23.000,0.9.3,54.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],180.0,167.0,https://pypi.org/project/scikit-lego,2024-11-13 11:05:03.000,13.0,25336.0,26416.0,https://anaconda.org/conda-forge/scikit-lego,2024-07-10 21:13:14.463,59450.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +390,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-06-19 19:59:13.000000,2024-01-17 21:03:09,532.0,,418.0,52.0,41.0,17.0,139.0,1247.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2944.0,2906.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,215553.0,216485.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,52204.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +391,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-11-08 16:30:13.279000,2024-02-08 16:58:25,2080.0,,250.0,41.0,39.0,76.0,591.0,1177.0,"pyclustering is a Python, C++ data mining library.",26.0,28,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,807.0,775.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,27405.0,29264.0,https://anaconda.org/conda-forge/pyclustering,2024-11-08 16:30:13.279,98220.0,,,,,3.0,652.0,,,,,,,,,,,,,,,,,,, +392,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,443.0,43.0,176.0,93.0,102.0,1024.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],311.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,311.0,4104585.0,4134625.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2343151.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +393,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-11-27 23:12:36.000000,2024-11-27 23:12:35,944.0,5.0,215.0,58.0,99.0,39.0,172.0,986.0,Input pipeline framework.,29.0,28,True,2024-10-28 22:13:18.000,1.16.0,58.0,tensorflow-transform,,,,['tensorflow'],18.0,,https://pypi.org/project/tensorflow-transform,2024-10-28 22:32:45.000,18.0,540322.0,540322.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2024-10-10 15:48:16.000000,2023-02-20 00:24:10,1723.0,,190.0,41.0,176.0,72.0,174.0,953.0,A Jupyter - Three.js bridge.,30.0,28,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],96.0,,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,82.0,85961.0,93660.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,618577.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,1694.0,,,,,,,,,,,,, +395,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2024-11-25 14:12:15.000000,2024-11-25 14:09:30,820.0,1.0,256.0,40.0,514.0,282.0,257.0,907.0,Scalable Machine Learning with Dask.,80.0,28,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1256.0,1163.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,93.0,125953.0,142709.0,https://anaconda.org/conda-forge/dask-ml,2024-06-17 15:22:39.176,921600.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +396,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-07-18 20:23:32.152000,2024-07-17 19:01:14,1326.0,,149.0,50.0,59.0,21.0,70.0,849.0,Computer Vision in Python.,35.0,28,True,2024-07-17 21:10:14.000,1.4.18,63.0,mahotas,conda-forge/mahotas,,,,1465.0,1402.0,https://pypi.org/project/mahotas,2024-07-17 21:10:14.000,63.0,23435.0,33240.0,https://anaconda.org/conda-forge/mahotas,2024-07-18 20:23:32.152,529500.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +397,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-12-01 02:04:06.000000,2024-12-01 02:03:32,3719.0,4.0,330.0,65.0,691.0,39.0,536.0,843.0,The Classical Language Toolkit.,121.0,28,True,2024-12-01 02:04:06.000,1.4.0,218.0,cltk,,,,,297.0,280.0,https://pypi.org/project/cltk,2024-12-01 02:04:06.000,17.0,6383.0,6383.0,,,,,,,,2.0,104.0,,,,,,,,,,,,,,,,,,, +398,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2024-10-24 21:42:13.000000,2024-10-24 21:41:40,887.0,39.0,148.0,29.0,97.0,47.0,76.0,628.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,21.0,28,True,2024-10-01 23:08:54.000,1.16.0,44.0,ml-metadata,,,,,629.0,598.0,https://pypi.org/project/ml-metadata,2024-10-01 23:08:54.000,31.0,90951.0,90991.0,,,,,,,,3.0,2808.0,,,,,,,,,,,,,,,,,,, +399,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-07-03 17:04:15.000000,2024-07-03 17:02:18,237.0,,59.0,14.0,207.0,12.0,187.0,344.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,28,True,2024-07-03 17:04:15.000,3.10.0,73.0,pystan,conda-forge/pystan,,,,10315.0,10154.0,https://pypi.org/project/pystan,2024-07-03 17:04:15.000,161.0,744762.0,776344.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2937170.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +400,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1154.0,239.0,458.0,75.0,264.0,18367.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,False,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,43346.0,43761.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,27027.0,2.0,,,,,,,,,,,,,,,,,,,, +401,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1529.0,133.0,51.0,163.0,141.0,7967.0,A PyTorch implementation of EfficientNet.,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],73.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,72.0,249393.0,325890.0,,,,,,,,2.0,4360347.0,,,,,,,,,,,,,,,,,,, +402,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:58:01.158000,2023-05-24 15:56:22,277.0,,886.0,268.0,98.0,82.0,81.0,7358.0,Visualizations for machine learning datasets.,31.0,27,False,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],289.0,281.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,58196.0,58196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +403,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1610.0,459.0,699.0,36.0,441.0,7337.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,136.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,2322.0,2347.0,,,,,,,,2.0,2518.0,,,,,,,,,,,,,,,,,,, +404,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2024-08-30 14:19:26.000000,2024-08-30 14:19:23,221.0,,1350.0,174.0,46.0,80.0,242.0,7136.0,2D and 3D Face alignment library build using pytorch.,26.0,27,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],31.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,48236.0,48236.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +405,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1357.0,350.0,14.0,42.0,66.0,6453.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1513.0,1505.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,8.0,34847.0,34847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +406,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-06-16 11:25:37.000000,2024-06-14 19:31:58,659.0,,1016.0,145.0,100.0,87.0,310.0,6433.0,A Python scikit for building and analyzing recommender systems.,46.0,27,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,58.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,37.0,100609.0,108809.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,434612.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +407,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,64.0,136.0,74.0,5083.0,Image augmentation library in Python for machine learning.,23.0,27,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,868.0,856.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,8316.0,8316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +408,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,272.0,438.0,221.0,329.0,4833.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],334.0,332.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,871.0,871.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +409,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-08-02 08:16:49.000000,2024-08-02 08:16:49,252.0,,945.0,54.0,57.0,76.0,108.0,4606.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,18.0,27,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],2583.0,2532.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,51.0,95713.0,119544.0,,,,,,,,3.0,1453701.0,,,,,,,,,,,,,,,,,,, +410,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,999.0,147.0,32.0,52.0,77.0,4506.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,9895.0,9798.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,97.0,357916.0,358257.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,15347.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +411,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2024-09-27 16:58:57.000000,2023-07-05 18:14:28,901.0,,559.0,103.0,619.0,99.0,608.0,4303.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,False,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],105.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,105.0,651012.0,652675.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,86483.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +412,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-08-09 13:30:50.391000,2024-07-18 16:46:48,557.0,,741.0,176.0,90.0,1.0,288.0,4301.0,A python wrapper for Alpha Vantage API for financial data.,44.0,27,True,2024-07-18 14:29:16.000,3.0.0,35.0,alpha_vantage,conda-forge/alpha_vantage,,,,35.0,,https://pypi.org/project/alpha_vantage,2024-07-18 14:29:16.000,35.0,47689.0,47857.0,https://anaconda.org/conda-forge/alpha_vantage,2024-08-09 13:30:50.391,7919.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +413,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-11-25 15:45:47.000000,2024-09-13 01:42:25,1464.0,,480.0,58.0,828.0,60.0,498.0,3913.0,NeuralProphet: A simple forecasting package.,56.0,27,True,2024-06-21 07:42:22.000,0.9.0,36.0,neuralprophet,,,,['pytorch'],8.0,,https://pypi.org/project/neuralprophet,2024-06-26 23:51:51.000,8.0,74737.0,74737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +414,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,282.0,226.0,12.0,356.0,3875.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,False,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,537414.0,537842.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,25692.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-11-29 05:56:39.000000,2024-11-29 05:56:39,1677.0,13.0,685.0,44.0,30.0,7.0,574.0,3616.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],24.0,24.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,2148.0,2148.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +416,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-10-16 14:48:03.000000,2024-10-16 14:45:12,235.0,26.0,324.0,89.0,102.0,51.0,32.0,3544.0,Python library that makes it easy for data scientists to create charts.,27.0,27,True,2024-10-16 14:48:03.000,5.0.1,27.0,chartify,conda-forge/chartify,,,,89.0,80.0,https://pypi.org/project/chartify,2024-10-16 14:48:03.000,9.0,2895.0,3365.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,34347.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +417,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-10-30 15:06:30.000000,2024-10-30 15:05:16,1206.0,2.0,427.0,84.0,55.0,63.0,204.0,3537.0,A library of reinforcement learning components and agents.,86.0,27,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],227.0,224.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1683.0,1898.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,10559.0,,,,,2.0,,google-deepmind/acme,,,,,,,,,,,,,,,,,, +418,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1153.0,168.0,215.0,49.0,146.0,3425.0,Performance analysis of predictive (alpha) stock factors.,26.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,725.0,720.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1380.0,1656.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,22669.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +419,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-08-11 08:09:18.000000,2024-06-22 17:36:10,1146.0,,254.0,61.0,121.0,7.0,293.0,3403.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2024-06-22 19:12:02.000,0.3.3,23.0,vidgear,,,,,664.0,649.0,https://pypi.org/project/vidgear,2024-06-22 19:12:02.000,15.0,20549.0,20578.0,,,,,,,,3.0,2005.0,,,,,,,,,,,,,,,,,,, +420,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-10-18 19:28:12.000000,2024-10-18 19:27:15,995.0,2.0,590.0,95.0,339.0,22.0,761.0,3389.0,"Fast, flexible and easy to use probabilistic modelling in Python.",75.0,27,True,2024-10-18 19:28:12.000,1.1.1,77.0,pomegranate,conda-forge/pomegranate,,,,59.0,,https://pypi.org/project/pomegranate,2024-10-18 19:28:12.000,59.0,18412.0,21770.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,184714.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +421,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-08-03 07:04:44.000000,2024-01-02 20:16:48,4161.0,,374.0,84.0,66.0,156.0,189.0,3334.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,514.0,497.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,17.0,6562.0,14584.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,746062.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +422,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-07-31 20:26:54.000000,2024-07-31 20:26:47,2116.0,,530.0,142.0,240.0,43.0,635.0,3299.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],460.0,456.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,1131.0,1131.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +423,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-12-09 23:31:50.000000,2024-12-09 23:29:52,2914.0,141.0,718.0,156.0,63.0,10.0,840.0,3267.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,36.0,27,True,2024-12-04 19:30:00.000,1.8.0,22.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,919.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,71587.0,,,,,3.0,4808.0,,,,,,,,,,,,,,,,,,, +424,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-07-25 18:53:58.000000,2024-07-25 18:53:58,2707.0,,386.0,38.0,522.0,62.0,217.0,3008.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",66.0,27,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,337.0,326.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,11.0,6761.0,6938.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,9031.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +425,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,431.0,62.0,933.0,325.0,747.0,2957.0,StellarGraph - Machine Learning on Graphs.,40.0,27,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],298.0,287.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,5028.0,5028.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +426,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,,775.0,182.0,75.0,21.0,565.0,2872.0,Python sync/async framework for Interactive Brokers API.,36.0,27,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,44.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,44.0,37907.0,38678.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,50177.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,,425.0,46.0,366.0,27.0,350.0,2797.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,27,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,663.0,649.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,5482.0,5779.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,15762.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +428,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-08-13 16:15:34.495000,2024-08-12 14:54:41,1058.0,,411.0,124.0,145.0,198.0,247.0,2673.0,PYthon svg GrAph plotting Library.,77.0,27,False,2024-08-12 14:55:21.000,3.0.5,81.0,pygal,conda-forge/pygal,,,,101.0,,https://pypi.org/project/pygal,2024-08-12 14:55:21.000,101.0,240518.0,243795.0,https://anaconda.org/conda-forge/pygal,2024-08-13 16:15:34.495,75382.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +429,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,259.0,29.0,1132.0,78.0,224.0,2642.0,Database system for AI-powered apps.,73.0,27,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],150.0,150.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,1437.0,15821.0,,,,,,,,3.0,417163.0,georgia-tech-db/evadb,,,,,,,,,,,,,,,,,, +430,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-12-02 23:16:14.000000,2024-12-02 23:16:14,149.0,9.0,346.0,29.0,338.0,47.0,346.0,2599.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,14.0,27,True,2024-11-02 18:47:18.000,1.0.1,22.0,adapter-transformers,,,,['huggingface'],146.0,134.0,https://pypi.org/project/adapter-transformers,2024-07-07 11:49:43.000,12.0,9221.0,9221.0,,,,,,,,3.0,,adapter-hub/adapters,,,,,,,,,,,,,,,,,, +431,Opik,comet-ml/opik,nlp,,https://github.com/comet-ml/opik,https://github.com/comet-ml/opik,Apache-2.0,2023-05-10 12:57:13.000,2024-12-12 15:08:33.000000,2024-12-12 15:04:45,661.0,557.0,156.0,37.0,776.0,29.0,77.0,2547.0,Open-source end-to-end LLM Development Platform.,28.0,27,True,2024-12-12 13:49:12.000,1.2.5,75.0,opik,,,,,1.0,,https://pypi.org/project/opik,2024-12-12 13:49:34.000,1.0,10926.0,10926.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +432,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-12-09 00:29:48.000000,2024-12-06 11:28:50,668.0,5.0,252.0,56.0,673.0,151.0,225.0,2421.0,Algorithms for explaining machine learning models.,22.0,27,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,716.0,691.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,17547.0,17547.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +433,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,250.0,87.0,124.0,35.0,230.0,2217.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1965.0,1899.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,25298.0,27193.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,172533.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +434,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,318.0,63.0,38.0,97.0,160.0,2179.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],392.0,386.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,14766.0,14766.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +435,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-11-22 16:48:16.000000,2024-02-28 15:45:58,1631.0,,250.0,67.0,63.0,32.0,199.0,2161.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,27,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],60.0,58.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,2.0,1803.0,1803.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +436,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-12-12 14:16:18.000000,2024-12-12 07:51:45,6684.0,112.0,303.0,45.0,3027.0,180.0,1592.0,1781.0,cuGraph - RAPIDS Graph Analytics Library.,118.0,27,True,2024-12-11 21:47:02.000,24.12.00,41.0,cugraph,conda-forge/libcugraph,,,,4.0,,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,409.0,993.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,25698.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,,213.0,38.0,1081.0,25.0,496.0,1745.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,False,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],310.0,305.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2587.0,3191.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,24173.0,,,,,2.0,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,,,, +438,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,54.0,446.0,6.0,402.0,1742.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],234.0,231.0,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,39606.0,39700.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,4176.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +439,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,282.0,52.0,88.0,24.0,191.0,1635.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,27,False,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],696.0,677.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,19.0,92392.0,92545.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,8271.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +440,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-11-16 19:42:02.087000,2024-10-24 16:30:49,696.0,2.0,164.0,22.0,128.0,8.0,131.0,1484.0,"Extensible, parallel implementations of t-SNE.",13.0,27,True,2024-08-13 11:02:28.000,1.0.2,28.0,opentsne,conda-forge/opentsne,,,,984.0,937.0,https://pypi.org/project/opentsne,2024-08-13 11:02:01.000,47.0,49382.0,56047.0,https://anaconda.org/conda-forge/opentsne,2024-11-16 19:42:02.087,346597.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +441,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,312.0,73.0,742.0,58.0,168.0,1481.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,415.0,413.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,1918.0,1918.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +442,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-12-09 14:53:25.000000,2024-12-09 14:53:25,613.0,3.0,424.0,31.0,51.0,18.0,132.0,1461.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,30.0,27,False,2024-08-23 12:23:48.000,2.3.3,26.0,minisom,,,,,738.0,707.0,https://pypi.org/project/minisom,2024-08-23 12:22:45.000,31.0,33517.0,33517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +443,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2024-10-27 05:01:35.000000,2024-10-27 05:01:33,863.0,5.0,270.0,81.0,492.0,53.0,207.0,1433.0,Underthesea - Vietnamese NLP Toolkit.,19.0,27,False,2024-06-22 10:18:00.000,6.8.4,127.0,underthesea,,,,,1329.0,1318.0,https://pypi.org/project/underthesea,2024-06-22 10:18:00.000,11.0,26666.0,26748.0,,,,,,,,2.0,7504.0,,,,,,,,,,,,,,,,,,, +444,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2024-11-26 20:53:03.000000,2024-08-07 01:34:48,1970.0,,363.0,33.0,2283.0,86.0,234.0,1411.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,43.0,27,True,2024-07-08 18:03:34.000,0.36.0,57.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",6.0,,https://pypi.org/project/raiwidgets,2024-07-08 16:42:42.000,6.0,9211.0,9211.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +445,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2024-08-25 11:43:40.000000,2024-08-25 11:43:40,1753.0,,205.0,44.0,259.0,68.0,213.0,1362.0,Python audio and music signal processing library.,24.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,477.0,450.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2293.0,2293.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +446,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-07-26 06:19:42.000000,2020-10-14 13:22:39,167.0,,408.0,72.0,89.0,36.0,26.0,1320.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1554.0,1498.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,56.0,25094.0,25474.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,31201.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +447,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-12-11 06:27:29.000000,2024-12-09 22:45:32,2396.0,174.0,421.0,57.0,583.0,190.0,266.0,1308.0,Machine learning on FPGAs using HLS.,63.0,27,True,2024-12-09 22:48:05.000,1.0.0,17.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",1.0,,https://pypi.org/project/hls4ml,2024-12-09 22:48:05.000,1.0,1160.0,1341.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,9271.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +448,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-08-06 17:18:34.000000,2023-06-06 09:46:40,415.0,,331.0,40.0,302.0,31.0,200.0,1294.0,A research toolkit for particle swarm optimization in Python.,45.0,27,False,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,496.0,474.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,32577.0,32577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +449,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,176.0,25.0,36.0,1.0,116.0,1255.0,Multivariate imputation and matrix completion algorithms implemented in Python.,11.0,27,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1752.0,1731.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,133037.0,133037.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +450,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-08-23 02:08:55.000000,2024-07-09 16:09:26,3066.0,,268.0,35.0,38.0,1.0,497.0,1236.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,17.0,27,True,2024-06-19 01:15:40.000,0.41.4,211.0,ktrain,,,,['tensorflow'],563.0,559.0,https://pypi.org/project/ktrain,2024-06-19 01:15:40.000,4.0,9233.0,9233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +451,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-12-04 12:06:33.000000,2024-12-04 12:04:56,828.0,6.0,126.0,31.0,432.0,84.0,341.0,1097.0,BAyesian Model-Building Interface (Bambi) in Python.,41.0,27,True,2024-07-10 09:48:04.000,0.14.0,29.0,bambi,conda-forge/bambi,,,,171.0,161.0,https://pypi.org/project/bambi,2024-07-10 09:48:04.000,10.0,29789.0,30634.0,https://anaconda.org/conda-forge/bambi,2024-07-10 16:37:21.380,40577.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +452,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-12-11 14:42:04.000000,2024-07-24 14:36:04,2074.0,,225.0,42.0,615.0,109.0,461.0,1093.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,42.0,27,False,2024-07-24 14:42:30.000,2.2.0,49.0,smac,conda-forge/smac,,,,40.0,,https://pypi.org/project/smac,2024-07-24 14:42:30.000,40.0,59941.0,60529.0,https://anaconda.org/conda-forge/smac,2024-05-16 20:20:11.437,26470.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +453,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-10-02 09:22:49.000000,2024-02-29 13:41:11,1144.0,,244.0,61.0,249.0,5.0,367.0,989.0,Search and download Copernicus Sentinel satellite images.,44.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,639.0,605.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,34.0,25086.0,25767.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,33933.0,,,,,3.0,328.0,,,,,,,,,,,,,,,,,,, +454,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,176.0,33.0,86.0,88.0,123.0,921.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1882.0,1857.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,25.0,68127.0,68127.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +455,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-11-10 14:49:37.000000,2024-11-10 14:49:37,681.0,2.0,106.0,14.0,100.0,73.0,67.0,904.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,27,True,2024-06-17 15:48:31.000,0.5.13,32.0,pynndescent,conda-forge/pynndescent,,,,8834.0,8678.0,https://pypi.org/project/pynndescent,2024-06-17 15:48:31.000,156.0,2054943.0,2095089.0,https://anaconda.org/conda-forge/pynndescent,2024-06-17 19:35:33.219,2127755.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +456,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-11-28 20:13:21.000000,2024-11-28 20:13:20,635.0,11.0,164.0,31.0,229.0,5.0,104.0,646.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,36.0,27,True,2024-10-03 19:57:53.000,0.7,13.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],439.0,411.0,https://pypi.org/project/pyriemann,2024-10-03 19:58:27.000,28.0,29060.0,29363.0,https://anaconda.org/conda-forge/pyriemann,2024-10-04 03:48:24.751,9095.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-10-06 20:12:28.000000,2024-10-06 19:51:01,6795.0,76.0,145.0,35.0,413.0,37.0,140.0,383.0,Neuroimaging in Python FMRI analysis package.,71.0,27,False,2024-10-06 19:42:32.000,0.6.1,9.0,nipy,conda-forge/nipy,,,,262.0,238.0,https://pypi.org/project/nipy,2024-10-06 19:42:32.000,24.0,3912.0,30341.0,https://anaconda.org/conda-forge/nipy,2024-07-28 17:27:34.085,132146.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +458,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-12-11 14:40:44.000000,2024-12-11 14:40:44,102.0,2.0,1827.0,209.0,75.0,113.0,38.0,10763.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,33.0,26,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,16.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,14.0,53307.0,53307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +459,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1219.0,186.0,213.0,31.0,534.0,9462.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,305.0,,,,,,,,3.0,14340.0,,,,,,,,,,,,,,,,,,, +460,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-11-19 08:19:11.000000,2024-11-19 08:19:11,13850.0,11.0,1549.0,138.0,3624.0,76.0,1982.0,5739.0,An Industrial Grade Federated Learning Framework.,101.0,26,True,2024-07-31 11:47:02.000,2.2.0,51.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +461,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2024-07-03 08:05:36.000000,2020-05-03 07:13:22,108.0,,599.0,142.0,31.0,69.0,55.0,5601.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1896.0,1840.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,56.0,1708538.0,1708919.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,20240.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +462,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-06-09 21:29:46.000000,2024-06-09 21:29:43,1062.0,,1021.0,243.0,219.0,52.0,203.0,4589.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,68.0,67.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,1583.0,1680.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,4275.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-11-27 09:38:10.000000,2024-11-27 09:38:09,1139.0,1.0,749.0,59.0,1015.0,187.0,742.0,4381.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,26,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],186.0,182.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,4.0,4456.0,4456.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +464,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-11-20 06:18:08.919000,2024-10-24 16:27:28,480.0,4.0,279.0,51.0,477.0,69.0,261.0,3365.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,26,True,2024-10-25 17:04:56.000,0.4.12,25.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,7.0,,https://pypi.org/project/hummingbird-ml,2024-10-25 17:04:56.000,7.0,8045.0,9210.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-11-20 06:18:08.919,51869.0,,,,,2.0,750.0,,,,,,,,,,,,,,,,,,, +465,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-10-18 00:01:12.000000,2024-10-18 00:01:11,1586.0,10.0,252.0,29.0,2020.0,3.0,666.0,3253.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,38.0,26,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,14630.0,14705.0,,,,,,,,3.0,2727.0,,,,,,,,,,,,,,,,,,, +466,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,300.0,33.0,477.0,54.0,30.0,3053.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,26,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],86.0,,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,86.0,156269.0,156545.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,12168.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +467,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,215.0,3649.0,429.0,1111.0,3033.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1720.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,152356.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1521.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +468,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2024-08-06 11:36:13.000000,2023-11-29 13:26:08,135.0,,277.0,54.0,21.0,45.0,97.0,2965.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,26,False,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2725.0,2695.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,30.0,67907.0,68704.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,36707.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +469,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,68.0,167.0,164.0,113.0,2761.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,61.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,61.0,174671.0,176540.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,170097.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +470,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,,477.0,97.0,44.0,91.0,240.0,2747.0,Learning to Rank in TensorFlow.,36.0,26,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,89747.0,89747.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +471,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-10-23 15:36:38.000000,2023-07-23 14:42:27,191.0,,490.0,38.0,250.0,52.0,290.0,2663.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,False,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,47295.0,47542.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,8912.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +472,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,719.0,168.0,94.0,136.0,358.0,2492.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,29.0,27.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,980.0,980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +473,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-12-10 03:08:36.000000,2024-12-10 03:08:33,438.0,1.0,842.0,91.0,291.0,200.0,103.0,2480.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,26,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,567.0,535.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,32.0,33686.0,34018.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,16961.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-07-27 16:14:52.000000,2024-07-27 16:14:15,696.0,,248.0,35.0,148.0,24.0,146.0,2423.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,257.0,248.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,9.0,22516.0,22522.0,,,,,,,,3.0,343.0,,,,,,,,,,,,,,,,,,, +475,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,338.0,77.0,55.0,170.0,68.0,2316.0,Multilingual text (NLP) processing toolkit.,26.0,26,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1449.0,1400.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,36495.0,36495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-07-16 08:39:07.000000,2024-05-21 15:42:46,481.0,,336.0,65.0,161.0,13.0,92.0,2156.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,781.0,762.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,19.0,105696.0,105696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +477,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2066.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2405.0,2391.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,96624.0,100536.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,531.0,,,,,3.0,261462.0,,,,,,,,,,,,,,,,,,, +478,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,,160.0,60.0,68.0,67.0,130.0,1829.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,26,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,493.0,491.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,1800.0,1800.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,, +479,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,165.0,26.0,82.0,51.0,35.0,1780.0,A Python package for time series classification.,14.0,26,False,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,776.0,731.0,https://pypi.org/project/pyts,2023-06-18 12:36:11.801,45.0,117327.0,118078.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,28555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +480,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-12-03 03:47:24.000000,2024-12-03 03:40:45,1035.0,45.0,276.0,43.0,879.0,85.0,66.0,1668.0,A lightweight library for PyTorch training tools and utilities.,141.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,5449.0,5449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +481,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,28.0,381.0,56.0,155.0,1574.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,26,False,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],64.0,63.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,3368.0,3368.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +482,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-11-21 20:06:59.000000,2024-11-21 19:30:50,1226.0,20.0,122.0,29.0,73.0,4.0,29.0,1522.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,8.0,26,True,2024-11-21 20:06:59.000,0.8.0,30.0,pytorch_toolbelt,,,,['pytorch'],12.0,,https://pypi.org/project/pytorch_toolbelt,2024-11-21 20:06:59.000,12.0,8541.0,8542.0,,,,,,,,2.0,125.0,,,,,,,,,,,,,,,,,,, +483,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2024-11-22 14:04:30.000000,2024-11-22 14:04:30,811.0,1.0,148.0,35.0,215.0,120.0,152.0,1246.0,Real-time stream processing for python.,49.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,564.0,507.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,57.0,18071.0,32711.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,1273703.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +484,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2024-12-06 21:51:52.000000,2024-12-06 21:51:52,794.0,3.0,69.0,17.0,133.0,56.0,117.0,1051.0,Visualize large time series data with plotly.py.,13.0,26,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1608.0,1584.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,24.0,491738.0,494016.0,https://anaconda.org/conda-forge/plotly-resampler,2024-12-05 23:08:14.776,79750.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,261.0,44.0,72.0,104.0,188.0,930.0,Gaussian Process Optimization using GPy.,50.0,26,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,581.0,544.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,46938.0,46938.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +486,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2024-08-20 16:20:38.000000,2021-02-11 16:40:18,279.0,,82.0,12.0,50.0,22.0,53.0,819.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,26,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,4916.0,4839.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,77.0,1194057.0,1194255.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,7552.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2024-11-20 13:14:37.000000,2024-11-20 13:14:36,977.0,9.0,174.0,49.0,89.0,39.0,144.0,766.0,Library for exploring and validating machine learning data.,27.0,26,True,2024-10-15 19:51:40.000,1.16.1,48.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",31.0,,https://pypi.org/project/tensorflow-data-validation,2024-10-15 20:20:03.000,31.0,155937.0,155949.0,,,,,,,,3.0,910.0,,,,,,,,,,,,,,,,,,, +488,quinn,MrPowers/quinn,ml-experiments,,https://github.com/mrpowers-io/quinn,https://github.com/mrpowers-io/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-12-06 11:29:54.000000,2024-12-06 11:28:50,368.0,14.0,98.0,20.0,151.0,36.0,99.0,650.0,pyspark methods to enhance developer productivity.,32.0,26,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],96.0,89.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,695013.0,695013.0,,,,,,,,3.0,51.0,mrpowers-io/quinn,,,,,,,7.0,,,,,,,,,,, +489,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-06-05 18:36:28.000000,2023-08-23 17:20:54,1241.0,,160.0,18.0,717.0,42.0,208.0,512.0,A package built to support working with spatial data using open source python.,44.0,26,False,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,403.0,386.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,11202.0,12457.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,85342.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2024-06-18 11:08:22.000000,2019-12-05 08:17:22,46.0,,215.0,22.0,17.0,46.0,23.0,426.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2024-06-18 11:08:22.000,0.5.0,11.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],8169.0,8030.0,https://pypi.org/project/sklearn-crfsuite,2024-06-18 11:08:22.000,139.0,308040.0,308773.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,41069.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-12-06 10:57:07.013000,2024-12-05 21:47:00,543.0,8.0,40.0,5.0,16.0,3.0,58.0,353.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,15.0,26,True,2024-12-05 21:49:46.000,0.11.1,29.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],988.0,925.0,https://pypi.org/project/scikit-posthocs,2024-12-05 21:49:46.000,63.0,115480.0,135231.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-12-06 10:57:07.013,987584.0,,,,,3.0,65.0,,,,,,,,,,,,,,,,,,, +492,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,802.0,169.0,1588.0,145.0,74.0,6338.0,A natural language modeling framework based on PyTorch.,234.0,25,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,281.0,287.0,,,,,,,,3.0,432.0,,,,,,,,,,,,,,,,,,, +493,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2024-05-29 15:42:28.000000,2022-09-22 23:59:07,1084.0,,965.0,181.0,328.0,337.0,294.0,5802.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,139.0,139.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,741.0,786.0,,,,,,,,3.0,3852.0,,,,,,,,,,,,,,,,,,, +494,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-06-23 12:28:48.000000,2024-06-23 12:28:48,343.0,,990.0,47.0,34.0,67.0,113.0,5316.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",24.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],252.0,237.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,15.0,4380.0,4380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-12-12 08:33:55.000000,2024-12-12 08:33:55,3749.0,78.0,621.0,92.0,4117.0,245.0,1417.0,5195.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,94.0,25,True,2024-11-28 18:09:35.000,1.44.0,85.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-11-21 01:10:14.000000,2024-11-21 01:04:51,225.0,5.0,301.0,80.0,180.0,24.0,54.0,4975.0,"A data augmentations library for audio, image, text, and video.",38.0,25,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,158.0,154.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,3007.0,3007.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,658.0,158.0,130.0,83.0,101.0,4678.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],799.0,793.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,646.0,646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-07-16 03:48:08.000000,2023-05-06 14:09:10,264.0,,450.0,44.0,55.0,95.0,172.0,4394.0,An Open-Source Framework for Prompt-Learning.,24.0,25,False,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,162.0,159.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,5686.0,5686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +499,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,134.0,649.0,65.0,198.0,3899.0,Snips Python library to extract meaning from text.,22.0,25,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,2988.0,2988.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-11-26 11:14:41.000000,2024-11-26 10:38:20,182.0,1.0,412.0,157.0,85.0,105.0,101.0,3350.0,A deep learning library for video understanding research.,57.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],24.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,24.0,32032.0,32032.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-07-30 10:50:08.000000,2024-07-09 09:34:16,515.0,,812.0,62.0,642.0,133.0,404.0,3292.0,A high-performance distributed training framework for Reinforcement Learning.,45.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],132.0,131.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,1404.0,1404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,661.0,70.0,25.0,117.0,101.0,2985.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2993.0,2992.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1223.0,1223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,478.0,97.0,49.0,65.0,254.0,2859.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,757.0,736.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,2759.0,3112.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,19779.0,,,,,3.0,1130.0,,,,,,,,,,,,,,,,,,, +504,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2024-08-03 17:30:36.000000,2022-10-05 16:26:03,376.0,,241.0,50.0,482.0,57.0,70.0,2825.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,286.0,283.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,28909.0,28910.0,,,,,,,,3.0,90.0,,,,,,,,,,,,,,,,,,, +505,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,226.0,64.0,42.0,18.0,24.0,2798.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,1219.0,1214.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,43901.0,44171.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,16775.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-12-10 11:22:22.000000,2024-08-01 02:26:24,769.0,,366.0,79.0,558.0,144.0,95.0,2756.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,25,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,20379.0,20379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2024-10-14 19:46:14.000000,2024-10-14 19:46:14,1949.0,6.0,374.0,38.0,96.0,41.0,158.0,2694.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,34.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],7.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,7.0,2901.0,2901.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +508,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-12-01 16:24:05.000000,2024-11-29 04:22:46,558.0,12.0,228.0,40.0,137.0,63.0,127.0,2358.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,31.0,25,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,7.0,7.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,17544.0,17544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +509,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-09-23 05:35:47.000000,2024-09-23 05:24:01,389.0,1.0,291.0,55.0,14.0,22.0,80.0,2261.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2024-09-23 05:35:47.000,0.2.2,151.0,scattertext,conda-forge/scattertext,,,,648.0,643.0,https://pypi.org/project/scattertext,2024-09-23 05:35:47.000,5.0,13078.0,14249.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,103058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2024-10-07 11:50:22.000000,2024-09-23 17:14:22,14660.0,1.0,86.0,41.0,59.0,13.0,78.0,2186.0,The friendly PIL fork.,434.0,25,False,,,72.0,pillow-simd,,,,,65.0,,https://pypi.org/project/pillow-simd,2024-09-23 18:27:59.000,65.0,28777.0,28777.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +511,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,685.0,86.0,48.0,24.0,64.0,2140.0,Common financial technical indicators implemented in Pandas.,28.0,25,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,570.0,558.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,157506.0,157506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +512,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,240.0,70.0,21.0,93.0,66.0,2114.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,283.0,279.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,94221.0,94221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2024-12-03 18:39:35.000000,2024-11-05 08:39:28,583.0,5.0,168.0,56.0,474.0,81.0,104.0,2074.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,33.0,25,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,123.0,113.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,1248.0,1248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +514,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-11-25 23:58:14.000000,2024-11-25 23:57:34,891.0,4.0,444.0,60.0,362.0,117.0,93.0,1947.0,Library for training machine learning models with privacy for training data.,59.0,25,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],21.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,21.0,20141.0,20143.0,,,,,,,,3.0,183.0,,,,,,,,,,,,,,,,,,, +515,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-11-03 09:08:45.000000,2024-08-31 13:01:11,360.0,,312.0,1.0,1.0,1.0,,1923.0,Feature engineering package with sklearn like functionality.,49.0,25,True,2024-11-03 09:08:45.000,1.8.2,42.0,feature_engine,conda-forge/feature_engine,,,,166.0,,https://pypi.org/project/feature_engine,2024-11-03 09:08:45.000,166.0,257280.0,258460.0,https://anaconda.org/conda-forge/feature_engine,2024-09-01 13:51:20.563,61394.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +516,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,310.0,56.0,1313.0,235.0,810.0,1893.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],120.0,116.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,948.0,948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-12-05 06:01:33.000000,2024-12-05 06:01:28,372.0,5.0,278.0,50.0,326.0,269.0,184.0,1866.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,25,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,2.0,323470.0,323470.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +518,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-06-10 12:09:16.000000,2024-06-10 12:07:33,223.0,,197.0,34.0,20.0,4.0,91.0,1748.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,25,True,2024-06-10 12:09:16.000,0.1.905,90.0,autoviz,conda-forge/autoviz,,,,805.0,794.0,https://pypi.org/project/autoviz,2024-06-10 12:09:16.000,11.0,20766.0,22526.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,70417.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +519,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,,269.0,27.0,187.0,11.0,390.0,1626.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,25,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],199.0,191.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1783.0,1783.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +520,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-12-02 05:44:37.000000,2024-12-02 05:44:37,1038.0,2.0,180.0,17.0,76.0,30.0,366.0,1575.0,PyTorch Extension Library of Optimized Scatter Operations.,31.0,25,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],152.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,152.0,42041.0,52699.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-11-05 09:02:23.775,575542.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +521,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-12-04 03:48:36.000000,2022-08-31 01:52:51,509.0,,308.0,102.0,49.0,8.0,151.0,1574.0,Distributed Deep learning with Keras & Spark.,27.0,25,False,2024-12-04 03:48:36.000,6.2.1,46.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",,,https://pypi.org/project/elephas,2024-12-04 03:48:36.000,,40613.0,40860.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,15868.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2024-06-13 23:15:42.000000,2024-06-13 23:15:42,109.0,,214.0,43.0,12.0,4.0,51.0,1567.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,True,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],275.0,271.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,4.0,159552.0,159552.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +523,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2024-08-01 05:16:36.000000,2023-11-06 15:20:05,206.0,,333.0,49.0,44.0,102.0,114.0,1410.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,False,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],614.0,606.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,22413.0,57664.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,343.0,,,,,3.0,1797459.0,,,,,,,,,,,,,,,,,,, +524,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2024-08-03 19:34:12.000000,2024-08-03 19:34:12,297.0,,231.0,46.0,186.0,53.0,121.0,1401.0,Metric learning algorithms in Python.,23.0,25,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],432.0,425.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,5722.0,5983.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,13883.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,406.0,90.0,165.0,103.0,224.0,1369.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,25,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],46.0,46.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,237.0,237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,,299.0,55.0,63.0,15.0,111.0,1311.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,1145.0,1134.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,11.0,10541.0,10541.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,142.0,28.0,63.0,9.0,70.0,1295.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1746.0,1730.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,16.0,21458.0,21458.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +528,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,34.0,68.0,57.0,206.0,1270.0,A toolbox to iNNvestigate neural networks predictions!.,22.0,25,False,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],144.0,142.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,967.0,972.0,,,,,,,,3.0,165.0,,,,,,,,,,,,,,,,,,, +529,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-12-11 22:38:46.000000,2024-12-11 19:34:09,2614.0,111.0,96.0,20.0,1219.0,89.0,241.0,1162.0,"MetricFlow allows you to define, build, and maintain metrics in code.",46.0,25,False,2024-06-11 22:06:04.000,0.206.0,88.0,metricflow,,,,,32.0,28.0,https://pypi.org/project/metricflow,2024-07-09 00:14:45.000,4.0,25819.0,25819.0,,,,,,,,3.0,,dbt-labs/metricflow,,,,,,,,,,,,,,,,,, +530,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,120.0,11.0,23.0,29.0,16.0,1151.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,14.0,25,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,7180.0,6708.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,472.0,494843.0,494843.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +531,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-09-14 05:03:32.000000,2024-09-14 05:03:32,1368.0,1.0,144.0,26.0,487.0,24.0,139.0,895.0,A Comparative Framework for Multimodal Recommender Systems.,22.0,25,True,2024-08-15 06:25:57.000,2.2.2,59.0,cornac,conda-forge/cornac,,,,269.0,251.0,https://pypi.org/project/cornac,2024-08-15 06:52:10.000,18.0,46652.0,58225.0,https://anaconda.org/conda-forge/cornac,2024-09-13 18:17:19.820,624967.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +532,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2024-11-18 15:00:19.000000,2023-01-03 21:24:56,1146.0,,158.0,33.0,25.0,35.0,236.0,739.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,25,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,184.0,180.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,2718.0,2718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +533,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-10-29 13:01:54.000000,2024-10-29 13:01:54,487.0,9.0,50.0,9.0,66.0,192.0,258.0,654.0,python binding for libvips using cffi.,16.0,25,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,932.0,855.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,77.0,56437.0,59391.0,https://anaconda.org/conda-forge/pyvips,2024-09-06 03:01:34.001,147700.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-12-10 20:25:27.000000,2024-12-10 20:25:25,578.0,15.0,58.0,42.0,333.0,22.0,63.0,319.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,True,2024-12-02 06:12:47.000,1.8.0,86.0,gokart,,,,,92.0,84.0,https://pypi.org/project/gokart,2024-12-02 06:12:47.000,8.0,4943.0,4943.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-12-11 17:34:35.000000,2024-12-11 16:48:21,4115.0,527.0,60.0,7.0,373.0,50.0,112.0,270.0,Python recommendation toolkit.,14.0,25,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,125.0,119.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,1847.0,2598.0,https://anaconda.org/conda-forge/lenskit,2024-11-05 21:32:45.433,36807.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +536,ridgeplot,tpvasconcelos/ridgeplot,data-viz,,https://github.com/tpvasconcelos/ridgeplot,https://github.com/tpvasconcelos/ridgeplot,MIT,2021-01-21 18:21:30.000,2024-12-09 20:56:23.000000,2024-12-09 20:56:21,997.0,419.0,8.0,5.0,235.0,16.0,36.0,156.0,Beautiful ridgeline plots in Python.,4.0,25,False,2024-12-05 00:46:50.000,0.3.0,28.0,ridgeplot,,,https://ridgeplot.readthedocs.io/,,158.0,153.0,https://pypi.org/project/ridgeplot,2024-12-05 00:46:04.000,5.0,45183.0,45183.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +537,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-07-06 13:17:45.000000,2024-07-02 22:54:35,200.0,,526.0,82.0,39.0,63.0,27.0,11192.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,24,False,2024-07-02 22:56:31.000,1.3.0,13.0,prettymaps,conda-forge/prettymaps,,,,61.0,61.0,https://pypi.org/project/prettymaps,2024-07-02 22:56:31.000,,1104.0,1214.0,https://anaconda.org/conda-forge/prettymaps,2024-07-03 13:55:21.192,3872.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-11-15 22:48:39.000000,2024-11-15 22:43:22,1099.0,2.0,924.0,114.0,676.0,146.0,543.0,5509.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,119.0,24,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],22.0,21.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,896.0,896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-12-02 08:42:25.000000,2024-12-02 08:41:55,522.0,1.0,451.0,64.0,94.0,37.0,88.0,5193.0,Finding duplicate images made easy!.,15.0,24,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],159.0,154.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,23774.0,23774.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +540,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,136.0,43.0,141.0,98.0,4944.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1158.0,1142.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,621.0,633.0,,,,,,,,3.0,972.0,,,,,,,,,,,,,,,,,,, +541,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-08-21 11:16:16.000000,2024-08-21 11:16:16,206.0,,1032.0,92.0,64.0,271.0,270.0,4777.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,15.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,32724.0,32724.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1385.0,356.0,59.0,51.0,,4449.0,Python Algorithmic Trading Library.,11.0,24,False,,,8.0,pyalgotrade,,,,,196.0,196.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,821.0,821.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,727.0,63.0,247.0,130.0,824.0,4180.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,21.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,21.0,4766.0,4766.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2024-08-02 16:23:45.000000,2021-06-02 17:38:16,1810.0,,897.0,176.0,386.0,34.0,430.0,3847.0,"Facilitating the design, comparison and sharing of deep text matching models.",37.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,88.0,88.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-09-05 04:03:54.000000,2024-09-05 04:03:53,4353.0,,613.0,42.0,1016.0,289.0,716.0,3490.0,"A unified, comprehensive and efficient recommendation library.",74.0,24,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,54262.0,54400.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,6791.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +546,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,527.0,172.0,50.0,67.0,49.0,3470.0,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],63.0,61.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,832.0,832.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +547,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-12-08 03:53:54.000000,2024-11-29 09:40:42,2878.0,31.0,1239.0,133.0,1136.0,50.0,85.0,3376.0,a distributed deep learning platform.,94.0,24,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,5.0,5.0,,,,,81.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,869.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,8379.0,3.0,,,,,,,,,,,,,,,,,,,, +548,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,111.0,73.0,193.0,118.0,3087.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,167.0,155.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,948.0,1006.0,,,,,,,,3.0,4749.0,,,,,,,,,,,,,,,,,,, +549,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-06-16 15:59:22.000000,2024-05-06 14:20:38,944.0,,179.0,21.0,79.0,112.0,179.0,2869.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,58.0,57.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,928.0,928.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,143.0,28.0,200.0,20.0,73.0,2768.0,HiPlot makes understanding high dimensional data easy.,9.0,24,False,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,493.0,467.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,38346.0,42071.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,216086.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,352.0,34.0,695.0,43.0,151.0,2717.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,False,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,118.0,114.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,267.0,267.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,326.0,93.0,2158.0,215.0,982.0,2706.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,False,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,2.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,2.0,32204.0,32204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2024-09-03 21:05:29.000000,2021-07-09 03:57:16,955.0,,441.0,65.0,123.0,32.0,350.0,2396.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,24,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],73.0,71.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,304.0,304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,617.0,87.0,29.0,25.0,52.0,2379.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,836.0,782.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,54.0,24509.0,24509.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,,236.0,62.0,32.0,60.0,96.0,2292.0,Fast and Easy Infinite Neural Networks in Python.,29.0,24,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,119.0,118.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2823.0,2832.0,,,,,,,,3.0,533.0,,,,,,,,,,,,,,,,,,, +556,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-06-26 08:22:56.000000,2024-02-10 10:17:50,226.0,,258.0,52.0,98.0,25.0,116.0,2256.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,24,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",139.0,135.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,3189.0,3189.0,,,,,,,,3.0,,mckinsey/causalnex,,,,,,,,,,,,,,,,,, +557,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,253.0,56.0,56.0,19.0,50.0,2216.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],761.0,742.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,7760.0,7760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,29.0,65.0,11.0,83.0,2014.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,False,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],380.0,372.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1482.0,1661.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,8424.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,310.0,98.0,45.0,188.0,217.0,1642.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,24,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,13.0,4.0,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,4431.0,4431.0,,,,,,,,2.0,69.0,,,,,,,,,,,,,,,,,,, +560,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-07-16 05:54:41.000000,2024-07-16 05:54:41,602.0,,302.0,56.0,118.0,54.0,31.0,1640.0,Interpretability and explainability of data and machine learning models.,41.0,24,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,107.0,106.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,1239.0,1239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,50.0,50.0,23.0,91.0,1629.0,Contextually-keyed word vectors.,19.0,24,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,437.0,424.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2788.0,4906.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,51443.0,,,,,3.0,69120.0,,,,,,,,,,,,,,,,,,, +562,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,123.0,28.0,31.0,63.0,50.0,1595.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],571.0,564.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,101127.0,101127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-11-23 22:25:52.000000,2024-11-23 22:09:12,359.0,2.0,276.0,43.0,257.0,77.0,198.0,1554.0,A framework for Privacy Preserving Machine Learning.,39.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],48.0,47.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,407.0,407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +564,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-08-14 21:07:18.000000,2024-08-14 20:38:00,159.0,,165.0,105.0,189.0,40.0,25.0,1511.0,fklearn: Functional Machine Learning.,56.0,24,True,2024-08-14 21:07:18.000,4.0.0,34.0,fklearn,,,,,15.0,15.0,https://pypi.org/project/fklearn,2024-08-14 21:07:18.000,,2088.0,2088.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +565,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-12-10 01:53:06.000000,2024-12-10 01:53:06,576.0,25.0,140.0,21.0,323.0,10.0,148.0,1404.0,A standard framework for modelling Deep Learning Models for tabular data.,24.0,24,True,2024-11-29 01:07:50.000,1.1.1,13.0,pytorch_tabular,,,,['pytorch'],9.0,,https://pypi.org/project/pytorch_tabular,2024-11-28 05:14:21.000,9.0,5997.0,5998.0,,,,,,,,1.0,52.0,,,,,,,,,,,,,,,,,,, +566,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-09-24 21:15:08.000000,2024-05-24 12:07:18,209.0,,87.0,34.0,111.0,8.0,18.0,1269.0,A library of reinforcement learning building blocks in JAX.,21.0,24,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],296.0,285.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,21519.0,21519.0,,,,,,,,3.0,,google-deepmind/rlax,,,,,,,,,,,,,,,,,, +567,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-08-02 11:14:24.000000,2024-08-02 11:14:21,90.0,,247.0,20.0,23.0,5.0,88.0,1250.0,Implementation of the node2vec algorithm.,16.0,24,True,2024-08-02 11:13:59.000,0.5.0,19.0,node2vec,conda-forge/node2vec,,,,769.0,738.0,https://pypi.org/project/node2vec,2024-08-02 11:12:23.000,31.0,21076.0,21483.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,32188.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +568,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2024-09-25 05:32:38.000000,2024-09-25 05:32:38,605.0,1.0,214.0,53.0,461.0,145.0,296.0,1213.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],77.0,68.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,1128.0,1128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,221.0,70.0,415.0,75.0,147.0,1179.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,180.0,175.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,442.0,442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,GPL-3.0,2018-03-20 15:22:29.000,2024-11-12 23:23:07.000000,2024-11-12 23:19:10,478.0,28.0,211.0,53.0,94.0,59.0,219.0,1055.0,Line based ATR Engine based on OCRopy.,21.0,24,False,2024-11-12 23:23:07.000,2.3.1,45.0,calamari_ocr,,,,,8.0,,https://pypi.org/project/calamari_ocr,2024-11-12 23:23:07.000,8.0,4974.0,4974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +571,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,,174.0,49.0,114.0,53.0,170.0,990.0,Python interface to GPU-powered libraries.,44.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,334.0,311.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2024-06-18 13:19:37.000000,2024-06-18 13:19:34,568.0,,191.0,48.0,61.0,1.0,68.0,985.0,Training neural models with structured signals.,38.0,24,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],496.0,493.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,6513.0,6513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,Runhouse,run-house/runhouse,ml-frameworks,,https://github.com/run-house/runhouse,https://github.com/run-house/runhouse,Apache-2.0,2022-05-10 14:10:51.000,2024-12-12 15:10:22.000000,2024-12-12 00:45:25,2016.0,273.0,35.0,9.0,1531.0,9.0,42.0,985.0,"Dispatch and distribute your ML training to serverless clusters in Python, like PyTorch for ML infra. Iterable,..",15.0,24,True,2024-12-12 00:41:07.000,0.0.37,45.0,runhouse,,,,,1.0,,https://pypi.org/project/runhouse,2024-12-12 00:40:19.000,1.0,33078.0,33080.0,,,,,,,,3.0,60.0,,,,,,,,,,,,,,,,,,, +574,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-06-12 05:36:27.000000,2024-06-12 05:36:27,401.0,,156.0,17.0,73.0,35.0,110.0,741.0,Ternary plotting library for python with matplotlib.,28.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,229.0,197.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,32.0,18210.0,19107.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,93299.0,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,, +575,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,137.0,137.0,91.0,42.0,67.0,670.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],242.0,230.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,12.0,15358.0,15358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-12-12 11:43:40.000000,2024-11-15 17:35:24,903.0,8.0,88.0,11.0,771.0,60.0,493.0,649.0,Automated modeling and machine learning framework FEDOT.,36.0,24,True,2024-08-28 11:07:57.000,0.7.4,23.0,fedot,,,,,60.0,55.0,https://pypi.org/project/fedot,2024-08-28 10:34:09.000,5.0,2090.0,2090.0,,,,,,,,2.0,,aimclub/FEDOT,,,,,,,,,,,,,,,,,, +577,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-12-10 22:32:57.000000,2024-12-10 22:32:57,1013.0,28.0,198.0,23.0,884.0,128.0,403.0,633.0,MONAI Label is an intelligent open source image labeling and learning tool.,65.0,24,True,2024-10-17 22:32:00.000,0.8.4,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,2647.0,5230.0,,,,,,,,3.0,105919.0,,,,,,,,,,,,,,,,,,, +578,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-09-18 15:23:28.852000,2024-07-23 14:46:53,413.0,,138.0,21.0,49.0,1.0,87.0,580.0,Medical image processing in Python.,20.0,24,False,2024-07-23 14:23:57.000,0.5.2,11.0,MedPy,conda-forge/medpy,,,,2450.0,2397.0,https://pypi.org/project/MedPy,2024-07-23 14:23:57.000,53.0,25731.0,27419.0,https://anaconda.org/conda-forge/medpy,2024-09-18 15:23:28.852,70904.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-10-28 02:06:34.000000,2024-10-21 13:56:46,3772.0,5.0,69.0,46.0,360.0,21.0,399.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,24,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],49.0,47.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,1049.0,1538.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,18123.0,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +580,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2024-12-09 16:13:36.000000,2024-11-13 16:44:08,2383.0,29.0,42.0,12.0,20.0,14.0,63.0,514.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,9.0,24,True,2024-08-14 15:06:05.000,4.8.0,80.0,hyperactive,,,,,49.0,36.0,https://pypi.org/project/hyperactive,2024-08-15 14:23:15.000,13.0,3574.0,3578.0,,,,,,,,2.0,286.0,,,,,,,,,,,,,,,,,,, +581,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,8.0,17.0,11.0,12.0,513.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],5089.0,4986.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,103.0,2280398.0,2289535.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,932004.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-12-12 03:19:30.000000,2024-12-10 04:11:06,5686.0,28.0,93.0,18.0,777.0,10.0,446.0,453.0,Lightwood is Legos for Machine Learning.,49.0,24,False,2024-12-06 17:44:46.000,24.12.1.0,207.0,lightwood,,,,['pytorch'],79.0,77.0,https://pypi.org/project/lightwood,2024-12-06 17:53:45.000,2.0,6135.0,6135.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +583,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-12-01 03:22:23.000000,2024-12-01 03:22:22,686.0,18.0,65.0,29.0,497.0,15.0,91.0,375.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,24,True,2024-09-25 14:29:32.000,4.1.0,41.0,vega,conda-forge/vega,,,['jupyter'],21.0,4.0,https://pypi.org/project/vega,2024-09-25 14:29:32.000,17.0,8863.0,21167.0,https://anaconda.org/conda-forge/vega,2024-09-25 20:44:27.334,676731.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2024-06-12 19:34:23.000000,2023-03-04 05:19:44,2327.0,,607.0,145.0,1362.0,129.0,987.0,8026.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1594.0,1594.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1434.0,262.0,69.0,133.0,137.0,6458.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,258.0,258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2024-09-20 17:59:42.000000,2024-06-28 18:04:28,599.0,,753.0,108.0,590.0,107.0,345.0,6211.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,59.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,32364.0,32364.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +587,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-12-02 21:29:39.000000,2024-12-02 21:29:38,1651.0,16.0,831.0,146.0,1588.0,382.0,403.0,5079.0,Simple and Distributed Machine Learning.,121.0,23,True,2024-10-16 04:14:37.000,1.0.8,58.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,320.0,75.0,37.0,95.0,73.0,4374.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,23,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,55.0,55.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,1872.0,1872.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +589,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-11-09 18:55:21.000000,2024-11-09 18:55:20,708.0,21.0,489.0,216.0,22.0,25.0,4.0,3480.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,18.0,23,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,,16.0,16.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,628.0,628.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,,, +590,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,,449.0,89.0,78.0,67.0,137.0,3389.0,Generate embeddings from large-scale graph-structured data.,32.0,23,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,299891.0,299894.0,,,,,,,,2.0,217.0,,,,,,,,,,,,,,,,,,, +591,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,233.0,54.0,36.0,75.0,126.0,3204.0,A GUI for Pandas DataFrames.,14.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],451.0,437.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,14.0,5041.0,5672.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,29699.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-09-23 16:30:28.000000,2024-09-23 16:30:23,472.0,1.0,332.0,65.0,319.0,50.0,124.0,2921.0,DDSP: Differentiable Digital Signal Processing.,32.0,23,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],63.0,62.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,4785.0,5144.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,19397.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,413.0,132.0,136.0,60.0,128.0,2407.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],68.0,66.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,1471.0,1620.0,,,,,,,,3.0,12897.0,,,,,,,,,,,,,,,,,,, +594,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-07-17 19:00:35.000000,2024-07-17 19:00:21,2319.0,,247.0,40.0,39.0,7.0,115.0,2177.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,23,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,288.0,275.0,https://pypi.org/project/karateclub,2022-10-22 13:31:38.000,13.0,4905.0,5438.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,28301.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +595,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,298.0,64.0,78.0,65.0,68.0,2106.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],36.0,33.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2173.0,2173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-12-10 06:15:26.000000,2024-12-10 06:15:26,1292.0,5.0,149.0,33.0,186.0,71.0,150.0,2036.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",31.0,23,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,285.0,296.0,,,,,,,,3.0,608.0,,,,,,,,,,,,,,,,,,, +597,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,247.0,44.0,33.0,51.0,90.0,1996.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],186.0,186.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,5182.0,5182.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-07-10 23:00:12.000000,2024-07-10 23:00:11,927.0,,135.0,35.0,446.0,50.0,354.0,1896.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,23,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,65.0,64.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,12495.0,12495.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1892.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],503.0,481.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,1535.0,2824.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,56730.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,294.0,43.0,801.0,72.0,485.0,1650.0,jiant is an nlp toolkit.,60.0,23,False,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,6.0,6.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,225.0,225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2024-06-12 09:16:57.000000,2022-05-22 23:59:48,1219.0,,164.0,32.0,24.0,42.0,34.0,1293.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",13.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],69.0,69.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,1075.0,1075.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +602,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-12-11 05:41:53.000000,2024-12-11 05:37:18,206.0,11.0,115.0,38.0,32.0,21.0,120.0,1270.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,15.0,23,True,2024-12-11 05:43:12.000,2.3.5,90.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,3481.0,3481.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-11-27 18:53:38.157000,2024-01-04 20:41:21,582.0,,296.0,95.0,123.0,62.0,98.0,1057.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,23,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],16.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,16.0,2070.0,3483.0,https://anaconda.org/conda-forge/astroml,2024-11-27 18:53:38.157,49467.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2024-08-14 00:01:42.000000,2023-11-17 10:59:26,412.0,,184.0,33.0,74.0,3.0,86.0,1049.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,False,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],239.0,230.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,7513.0,7513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-11-12 11:59:17.000000,2024-11-12 11:59:15,734.0,1.0,148.0,15.0,108.0,29.0,256.0,1021.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,23,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],122.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,122.0,30851.0,40778.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-11-05 13:05:27.561,536095.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,88.0,26.0,55.0,36.0,28.0,959.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,802.0,779.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,120513.0,122446.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,75387.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,111.0,26.0,36.0,35.0,69.0,879.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,23,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],699.0,687.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,19853.0,19853.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +608,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,,85.0,14.0,77.0,221.0,218.0,870.0,"Experiment tracking, ML developer tools.",29.0,23,False,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,101.0,101.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,4562.0,4562.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +609,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2024-10-12 16:41:54.000000,2024-10-12 16:34:55,60.0,3.0,75.0,6.0,5.0,2.0,25.0,853.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,23,True,2024-10-12 16:41:54.000,0.1.9,8.0,iterative-stratification,,,,['sklearn'],537.0,522.0,https://pypi.org/project/iterative-stratification,2024-10-12 16:41:54.000,15.0,40864.0,40864.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +610,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-11-14 17:13:15.000000,2024-11-14 17:13:11,605.0,3.0,148.0,15.0,66.0,34.0,142.0,838.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,36.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],62.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,62.0,16761.0,21060.0,https://anaconda.org/conda-forge/pytorch_cluster,2024-08-28 13:26:28.147,236453.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +611,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-08-02 05:29:18.056000,2024-08-01 17:33:11,360.0,,119.0,17.0,84.0,21.0,38.0,716.0,Working with molecular structures in pandas DataFrames.,18.0,23,True,2024-08-01 17:35:04.000,0.5.1,21.0,biopandas,conda-forge/biopandas,,,['pandas'],353.0,315.0,https://pypi.org/project/biopandas,2024-08-01 17:35:04.000,38.0,19902.0,23141.0,https://anaconda.org/conda-forge/biopandas,2024-08-02 05:29:18.056,168453.0,,,,,3.0,,BioPandas/biopandas,,,,,,,,,,,,,,,,,, +612,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-09-11 16:24:06.000000,2024-09-11 10:27:00,921.0,,115.0,42.0,118.0,51.0,48.0,700.0,Bias Auditing & Fair ML Toolkit.,22.0,23,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,184.0,176.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,8.0,28245.0,28245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-09-03 08:52:17.073000,2022-01-15 18:08:37,1718.0,,73.0,15.0,13.0,44.0,7.0,588.0,Pure-Python full-text search library.,42.0,23,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,232.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,232.0,413340.0,421666.0,https://anaconda.org/conda-forge/whoosh,2024-09-03 08:52:17.073,358058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +614,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-05-07 21:17:52.000000,2024-02-11 00:53:13,766.0,,87.0,13.0,31.0,9.0,49.0,397.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,23,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,504.0,460.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,44.0,231178.0,232884.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,87021.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +615,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-11-25 23:37:09.000000,2024-11-25 23:37:07,715.0,52.0,18.0,23.0,396.0,50.0,89.0,337.0,Serverside scaling for Vega and Altair visualizations.,5.0,23,True,2024-11-25 13:17:12.000,2.0.1,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,2144.0,11356.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-10-31 11:12:37.992,289674.0,,,,,3.0,8704.0,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,186.0,,,,,,,,,,,,, +616,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,50.0,14.0,712.0,217.0,203.0,287.0,Asynchronous Distributed Hyperparameter Optimization.,34.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,119.0,111.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1184.0,1184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-12-10 14:40:25.000000,2024-11-20 19:04:31,1083.0,31.0,1316.0,113.0,533.0,73.0,688.0,13674.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",100.0,22,False,2024-11-20 19:05:17.000,2.4.0,100.0,pandas-ai,,,,,,,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,,,, +618,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2024-08-06 12:05:27.000000,2023-01-15 11:37:16,279.0,,1074.0,126.0,109.0,180.0,356.0,5631.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,6.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,6.0,19473.0,19473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +619,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-07-07 15:33:11.000000,2022-08-09 13:26:32,565.0,,1253.0,308.0,211.0,66.0,220.0,4978.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1652.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143795.0,3.0,,,,,,,,,,,,,,,,,,,, +620,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2024-08-13 17:48:41.449000,2019-05-22 18:27:54,1118.0,,811.0,326.0,89.0,91.0,306.0,3873.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,125.0,146.0,https://anaconda.org/anaconda/neon,2024-08-13 17:48:41.449,1818.0,,,,,3.0,421.0,,,,,,,,,,,,,,,,,,, +621,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,490.0,84.0,180.0,113.0,161.0,3634.0,A high performance and generic framework for distributed DNN training.,21.0,22,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,3.0,3.0,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,211.0,231.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1351.0,3.0,,,,,,,,,,,,,,,,,,,, +622,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-11-26 03:12:32.000000,2024-11-26 03:09:31,1608.0,6.0,514.0,147.0,610.0,86.0,75.0,3575.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",171.0,22,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +623,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,676.0,74.0,53.0,179.0,101.0,3398.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,1763.0,1772.0,,,,,,,,3.0,649.0,,,,,,,,,,,,,,,,,,, +624,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,,328.0,54.0,414.0,82.0,106.0,3260.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],57.0,56.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,386.0,205.0,9.0,4.0,16.0,3136.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],163.0,161.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,2773.0,2773.0,,,,,,,,3.0,,google-deepmind/trfl,,,,,,,,,,,,,,,,,, +626,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-11-22 21:00:41.000000,2021-05-06 12:10:38,127.0,,157.0,48.0,72.0,2.0,31.0,3113.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,54.0,54.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,401.0,455.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1911.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,164.0,120.0,22.0,112.0,2942.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,40.0,22,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,11.0,11.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,335.0,335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +628,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,,238.0,43.0,110.0,80.0,64.0,2896.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,22,False,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,3493.0,3495.0,,,,,,,,3.0,157.0,,,,,,,,,,,,,,,,,,, +629,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-11-20 01:54:48.000000,2024-11-20 01:54:44,3462.0,2.0,727.0,7.0,34.0,406.0,855.0,2607.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",109.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,3896.0,3896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,381.0,79.0,146.0,36.0,126.0,2388.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],31.0,29.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,61.0,61.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +631,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-08-19 09:45:05.000000,2024-08-19 09:41:36,346.0,,341.0,42.0,68.0,163.0,95.0,1871.0,Super easy library for BERT based NLP models.,37.0,22,True,2024-08-19 09:45:05.000,2.0.26,72.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-08-19 09:45:05.000,,3263.0,3263.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1799.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",329.0,318.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,2683.0,2683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +633,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,214.0,39.0,111.0,56.0,42.0,1729.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],171.0,165.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,4558.0,6997.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,244623.0,,,,,3.0,725.0,,,,,,,,,,,,,,,,,,, +634,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2024-06-24 03:38:13.000000,2022-11-13 04:54:45,1941.0,,197.0,30.0,424.0,11.0,163.0,1674.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,22,False,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,413.0,413.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +635,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,200.0,38.0,7.0,15.0,33.0,1657.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],78.0,72.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,12516.0,12516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2024-06-27 16:05:09.000000,2023-03-23 14:35:34,422.0,,278.0,70.0,730.0,51.0,64.0,1597.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,False,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,1004.0,1465.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,27212.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,51.0,312.0,98.0,18.0,1597.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,False,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,36710.0,36710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,,217.0,57.0,52.0,82.0,149.0,1570.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,2146.0,2175.0,,,,,,,,3.0,2897.0,,,,,,,,,,,,,,,,,,, +639,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,192.0,33.0,86.0,16.0,33.0,1451.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,False,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,96.0,95.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,730.0,730.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-03-18 13:56:39.000000,2022-08-31 13:13:15,103.0,,90.0,39.0,15.0,12.0,27.0,1380.0,A Graph Neural Network Library in Jax.,17.0,22,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],260.0,238.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,22.0,49534.0,49717.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,6960.0,,,,,3.0,,google-deepmind/jraph,,,,,,,,,,,,,,,,,, +641,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,197.0,27.0,57.0,27.0,36.0,1311.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],184.0,179.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,732.0,732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-10-24 08:18:17.000000,2024-10-24 08:17:36,836.0,1.0,323.0,50.0,798.0,11.0,300.0,1212.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,2205.0,2205.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +643,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-08-04 22:39:35.000000,2024-08-04 17:00:39,437.0,,149.0,91.0,122.0,33.0,46.0,1201.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,22,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,118.0,117.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,624.0,624.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,,214.0,65.0,29.0,31.0,12.0,1193.0,Anomaly Detection and Correlation library.,9.0,22,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,83.0,81.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,14751.0,14751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,206.0,28.0,61.0,52.0,61.0,1077.0,fastFM: A Library for Factorization Machines.,20.0,22,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,130.0,127.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,3.0,1745.0,1751.0,,,,,,,,3.0,786.0,,,,,,,,,,,,,,,,,,, +646,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,90.0,18.0,73.0,18.0,45.0,1036.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,247.0,243.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,20281.0,20281.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2024-06-03 10:38:45.000000,2022-06-30 08:14:18,208.0,,111.0,51.0,99.0,44.0,51.0,1019.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],268.0,257.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,4144.0,4144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,,191.0,25.0,58.0,12.0,27.0,957.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],122.0,114.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,15567.0,15567.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-10-17 08:47:41.000000,2024-10-17 08:43:32,431.0,2.0,143.0,20.0,87.0,7.0,72.0,949.0,An intuitive library to extract features from time series.,20.0,22,True,2024-09-12 10:50:23.000,0.1.9,13.0,tsfel,,,,,168.0,161.0,https://pypi.org/project/tsfel,2024-09-12 10:43:35.000,7.0,15383.0,15383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2024-09-11 20:07:00.000000,2024-02-01 21:38:56,330.0,,171.0,30.0,113.0,91.0,56.0,928.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,8133.0,51727.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2325803.0,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,524.0,,,,,,,,,,,,, +651,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,146.0,23.0,46.0,17.0,82.0,924.0,kapre: Keras Audio Preprocessors.,13.0,22,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2464.0,2455.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1624.0,1624.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +652,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2024-11-26 19:03:40.000000,2024-10-31 11:39:03,1235.0,1.0,134.0,24.0,594.0,63.0,511.0,851.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,2656.0,2656.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +653,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,108.0,28.0,60.0,27.0,74.0,848.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,501.0,500.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,2002.0,2002.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,147.0,25.0,154.0,79.0,137.0,760.0,Google maps for Jupyter notebooks.,16.0,22,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],18.0,,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,5940.0,10330.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,349652.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,548.0,,,,,,,,,,,,, +655,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-11-18 17:47:11.000000,2024-07-23 12:43:38,1508.0,,79.0,34.0,691.0,22.0,118.0,704.0,Scikit-learn style model finetuning for NLP.,23.0,22,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",15.0,13.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,805.0,805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,87.0,21.0,9.0,25.0,41.0,692.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,22,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],484.0,474.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,31800.0,31829.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,3086.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2024-08-14 09:00:03.000000,2019-10-30 09:27:48,189.0,,83.0,21.0,12.0,,39.0,687.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,541.0,536.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,11929.0,11984.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,2401.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,107.0,30.0,1.0,15.0,3.0,642.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,22,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",691.0,674.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,77256.0,77256.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,109.0,26.0,23.0,66.0,35.0,612.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,512.0,487.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,25.0,9639.0,10052.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,19844.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2024-11-24 18:42:07.000000,2024-11-24 18:38:45,703.0,39.0,66.0,24.0,10.0,17.0,45.0,599.0,Active Learning for Text Classification in Python.,9.0,22,True,2024-11-24 19:15:11.000,2.0.0.de1,23.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",33.0,33.0,https://pypi.org/project/small-text,2024-11-24 18:42:07.000,,916.0,1289.0,https://anaconda.org/conda-forge/small-text,2024-08-18 16:37:29.577,10828.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2024-11-09 11:50:38.000000,2024-11-09 11:50:38,1794.0,16.0,75.0,10.0,220.0,49.0,83.0,566.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,24.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,40.0,39.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,1123.0,1131.0,,,,,,,,3.0,279.0,,,,,,,,,,,,,,,,,,, +662,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-08-01 23:26:59.000000,2024-03-19 15:52:03,1216.0,,67.0,7.0,211.0,20.0,109.0,522.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],302.0,297.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2661.0,2661.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2024-11-27 12:27:25.000000,2023-03-05 00:16:57,419.0,,109.0,36.0,277.0,85.0,174.0,495.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",20.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,89.0,87.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1825.0,1829.0,,,,,,,,3.0,400.0,,,,,,,,,,,,,,,,,,, +664,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2024-10-30 20:48:45.000000,2024-10-30 20:48:45,404.0,5.0,101.0,18.0,11.0,,50.0,462.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,22,True,2024-10-30 20:46:59.000,0.0.19,19.0,chefboost,,,,,63.0,63.0,https://pypi.org/project/chefboost,2024-10-30 20:46:59.000,,5881.0,5881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,49.0,17.0,2.0,12.0,3.0,381.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,545.0,537.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,66407.0,66407.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2024-07-06 00:47:45.000000,2023-09-06 17:29:29,2412.0,,52.0,23.0,232.0,57.0,195.0,380.0,Studio: Simplify and expedite model building process.,24.0,22,False,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,7.0,7.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,2564.0,2564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,TimeSide,Parisson/TimeSide,audio,,https://github.com/Parisson/TimeSide,https://github.com/Parisson/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2024-10-14 17:26:35.000000,2024-10-14 15:20:39,3847.0,4.0,60.0,28.0,110.0,33.0,184.0,374.0,scalable audio processing framework and server written in Python.,23.0,22,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,20.0,20.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,398.0,398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +668,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-08-02 00:43:48.000000,2024-08-02 00:21:15,339.0,,30.0,9.0,7.0,7.0,78.0,355.0,Multiple Imputation with LightGBM in Python.,8.0,22,True,2024-08-02 00:43:48.000,6.0.3,48.0,miceforest,conda-forge/miceforest,,,,185.0,176.0,https://pypi.org/project/miceforest,2024-08-02 00:43:48.000,9.0,58407.0,58805.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,16352.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +669,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2024-09-29 23:44:29.000000,2024-09-29 23:43:33,584.0,453.0,43.0,13.0,64.0,3.0,57.0,332.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,22,True,2024-06-13 05:28:35.000,2.0.11,36.0,ivis,,,,['tensorflow'],38.0,36.0,https://pypi.org/project/ivis,2024-06-13 05:28:35.000,2.0,1553.0,1553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +670,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-12-01 00:14:19.000000,2024-11-07 18:17:34,501.0,10.0,107.0,20.0,565.0,58.0,130.0,272.0,An open-source toolkit for large-scale genomic analysis.,28.0,22,False,2024-10-20 03:22:37.000,2.0.3,17.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,54287.0,54407.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,5493.0,,,,,3.0,121.0,,,,,,,,,,,,,,,,,,, +671,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,12.0,9.0,5.0,12.0,240.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1337.0,1280.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,57.0,90895.0,92653.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,87924.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,29.0,7.0,20.0,5.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2452.0,2408.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,121706.0,121706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-08-08 12:54:44.000000,2020-04-18 19:15:25,24.0,,1527.0,151.0,52.0,46.0,12.0,10672.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,21,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],77.0,74.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,1034.0,1034.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/optimate,https://github.com/nebuly-ai/optimate,Apache-2.0,2022-02-12 17:17:14.000,2024-07-22 02:07:03.000000,2024-07-22 02:07:02,771.0,,634.0,93.0,152.0,100.0,102.0,8374.0,A collection of libraries to optimise AI model performances.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,821.0,821.0,,,,,,,,3.0,,nebuly-ai/optimate,,,,,,,,,,,,,,,,,, +675,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2024-11-26 11:06:14.000000,2024-11-26 10:38:20,194.0,1.0,1210.0,97.0,51.0,409.0,288.0,6670.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,34.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],22.0,22.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +676,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,782.0,225.0,25.0,8.0,122.0,5370.0,Build Graph Nets in Tensorflow.,11.0,21,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,905.0,905.0,,,,,,,,3.0,,google-deepmind/graph_nets,,,,,,,,,,,,,,,,,, +677,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-06-17 09:17:33.000000,2024-03-11 13:23:01,3347.0,,820.0,229.0,111.0,57.0,622.0,4949.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,21,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,20.0,,,,,,,,3.0,1540.0,,,,,,,,,,,,,,,,,,, +678,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,744.0,102.0,35.0,107.0,113.0,4674.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,21,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],5.0,,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5958.0,5961.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,248.0,3.0,,,,,,,,,,,,,,,,,,,, +679,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2024-11-06 15:17:48.000000,2024-11-06 15:17:44,957.0,1.0,581.0,170.0,47.0,35.0,28.0,4592.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],3.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,3.0,889.0,889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,405.0,101.0,54.0,55.0,48.0,2947.0,Quickly search over billions of images.,19.0,21,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,1187.0,1187.0,,,,,,,,3.0,,rhsimplex/image-match,,,,,,,,,,,,,,,,,, +681,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,331.0,71.0,2.0,19.0,7.0,2908.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],216.0,213.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,2470.0,2470.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +682,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,369.0,84.0,4.0,5.0,18.0,2222.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,51.0,51.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,545.0,545.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,54.0,35.0,16.0,105.0,2131.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,False,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,14976.0,14976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-08-15 19:08:06.000000,2024-08-15 19:08:06,312.0,,165.0,24.0,34.0,33.0,31.0,1986.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",12.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],33.0,32.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,812.0,975.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,5830.0,,,,,3.0,129.0,,,,,,,,,,,,,,,,,,, +685,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-07-31 12:13:28.000000,2024-07-17 07:59:47,373.0,,162.0,18.0,74.0,24.0,43.0,1843.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,18.0,21,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],35.0,35.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,1400.0,1400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-06-13 10:11:03.000000,2024-01-16 17:27:35,27.0,,106.0,39.0,31.0,30.0,79.0,1814.0,"A flexible, intuitive and fast forecasting library.",10.0,21,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,35.0,35.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,8249.0,8250.0,,,,,,,,3.0,36.0,,,,,,,,,,,,,,,,,,, +687,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,135.0,100.0,150.0,21.0,20.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,24.0,24.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,4895.0,4895.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,270.0,65.0,51.0,23.0,75.0,1500.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,37.0,37.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,775.0,775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,351.0,61.0,47.0,37.0,71.0,1481.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],40.0,34.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,695.0,695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-11-22 18:05:50.000000,2024-11-22 17:35:27,783.0,4.0,187.0,19.0,264.0,88.0,94.0,1372.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,37132.0,37132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,221.0,64.0,48.0,40.0,90.0,1277.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],37.0,37.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,415.0,415.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,,204.0,63.0,7.0,13.0,29.0,1167.0,Python AutoML for Trading Systems and Sports Betting.,5.0,21,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,6.0,6.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,1577.0,1577.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-08-01 11:53:43.000000,2020-04-17 02:27:44,79.0,,147.0,25.0,77.0,50.0,37.0,1108.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,21,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,259945.0,260107.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,9257.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,250.0,48.0,46.0,26.0,127.0,1078.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,824.0,824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1004.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],89.0,85.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,187.0,187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-09-19 13:26:10.000000,2024-09-19 13:26:10,252.0,1.0,116.0,15.0,49.0,37.0,29.0,975.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,21,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,770.0,740.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,30.0,38937.0,54512.0,,,,,,,,3.0,763178.0,,,,,,,,,,,,,,,,,,, +697,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-06-27 20:02:41.000000,2024-06-27 20:02:41,240.0,,86.0,18.0,160.0,20.0,94.0,875.0,Bayesian active learning library for research and industrial usecases.,23.0,21,True,2024-06-11 15:50:56.000,2.0.0,21.0,baal,conda-forge/baal,,,,64.0,62.0,https://pypi.org/project/baal,2024-06-11 15:50:56.000,2.0,2420.0,2649.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,10804.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-10-10 11:23:15.000000,2024-10-10 11:22:10,296.0,2.0,250.0,46.0,18.0,11.0,92.0,864.0,Data compression in TensorFlow.,24.0,21,True,2024-08-07 20:25:13.000,2.17.0,26.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,2976.0,2976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,161.0,37.0,46.0,43.0,49.0,836.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,111.0,102.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,793.0,793.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-12-05 20:47:53.000000,2024-07-22 10:16:42,493.0,,117.0,34.0,561.0,211.0,246.0,785.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,21,True,2024-06-14 12:19:07.000,24.06.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,9964.0,9964.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,25.0,162.0,51.0,62.0,773.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],67.0,63.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,933.0,933.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,125.0,30.0,29.0,21.0,34.0,771.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,21,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],48.0,48.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,1379.0,1379.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,141.0,25.0,19.0,26.0,5.0,745.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],680.0,672.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,48911.0,49085.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,8725.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,74.0,25.0,37.0,27.0,21.0,736.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,21,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,35.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,35.0,32987.0,32987.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,, +705,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,636.0,torchbearer: A model fitting library for PyTorch.,14.0,21,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],98.0,94.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,760.0,760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,50.0,29.0,12.0,13.0,15.0,630.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,236.0,228.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,33867.0,33867.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,98.0,26.0,32.0,35.0,6.0,625.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],416.0,408.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,27862.0,27862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,19.0,216.0,49.0,315.0,610.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,66.0,65.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2024-09-29 18:55:40.000000,2024-09-29 18:55:40,251.0,2.0,131.0,22.0,20.0,8.0,31.0,602.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,15.0,21,True,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],176.0,171.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,12732.0,12732.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,,91.0,7.0,20.0,9.0,94.0,595.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,21,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,81.0,79.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,56280.0,56280.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2024-06-16 04:23:17.000000,2024-06-16 04:23:17,307.0,,106.0,9.0,15.0,6.0,16.0,590.0,Make Waffle Charts in Python.,6.0,21,True,2024-06-16 04:18:08.000,1.1.1,28.0,pywaffle,conda-forge/pywaffle,,,,446.0,440.0,https://pypi.org/project/pywaffle,2024-06-16 04:18:08.000,6.0,9461.0,9656.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,14075.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,26.0,31.0,5.0,24.0,573.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,53.0,51.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,2316.0,2316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2024-12-03 23:28:10.000000,2024-12-03 23:20:00,773.0,2.0,65.0,17.0,116.0,8.0,48.0,572.0,A simplified framework and utilities for PyTorch.,23.0,21,False,2024-12-03 23:22:07.000,1.17.3,39.0,poutyne,,,,['pytorch'],149.0,144.0,https://pypi.org/project/poutyne,2024-12-03 23:22:26.000,5.0,3354.0,3354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +714,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,59.0,10.0,21.0,16.0,37.0,565.0,Joyplots in Python with matplotlib & pandas.,8.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,484.0,475.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,11968.0,12386.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,28861.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +715,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,169.0,56.0,20.0,39.0,60.0,549.0,Bayesian inference in HSMMs and HMMs.,13.0,21,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,35.0,34.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,217.0,217.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +716,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-07-09 19:44:12.000000,2024-05-11 10:43:02,331.0,,101.0,26.0,8.0,1.0,33.0,526.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,21,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,30.0,27.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,9215.0,9215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,25.0,9.0,9.0,2.0,9.0,430.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],2192.0,2148.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,44.0,385373.0,385373.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,12.0,48.0,49.0,416.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,143.0,140.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,4183.0,4183.0,,,,,,,,3.0,105.0,,,,,,,,,,,,,,,,,,, +719,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,,90.0,29.0,319.0,76.0,27.0,378.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,21,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],7.0,,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,40408.0,40408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,50.0,11.0,37.0,29.0,37.0,355.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,260.0,244.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,2695.0,2695.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-11-29 10:33:15.000000,2024-11-29 10:32:50,810.0,26.0,25.0,5.0,302.0,4.0,,320.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,13.0,21,True,2024-11-29 10:33:15.000,1.2.27,858.0,upgini,,,,,9.0,9.0,https://pypi.org/project/upgini,2024-11-29 10:33:15.000,,19128.0,19128.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +722,TorchUncertainty,ENSTA-U2IS-AI/torch-uncertainty,probabilistics,,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,https://github.com/ENSTA-U2IS-AI/torch-uncertainty,Apache-2.0,2023-02-01 16:21:14.000,2024-12-09 16:29:33.000000,2024-11-19 09:38:40,1433.0,133.0,20.0,9.0,84.0,11.0,27.0,317.0,Open-source framework for uncertainty and deep learning models in PyTorch.,9.0,21,True,2024-11-18 09:39:34.000,0.3.1,16.0,torch-uncertainty,,,,['pytorch'],3.0,,https://pypi.org/project/torch-uncertainty,2024-11-18 09:39:34.000,3.0,1046.0,1046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +723,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",21.0,19.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,509312.0,509312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/predict-idlab/pyRDF2Vec,https://github.com/predict-idlab/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-12-04 18:38:14.000000,2023-07-02 18:02:16,1462.0,,50.0,15.0,223.0,22.0,64.0,250.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,52.0,46.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,6.0,571.0,571.0,,,,,,,,3.0,,predict-idlab/pyRDF2Vec,,,,,,,,,,,,,,,,,, +725,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,,2441.0,148.0,89.0,255.0,286.0,13743.0,End-to-End Object Detection with Transformers.,27.0,20,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2024-06-18 11:46:06.000000,2021-06-13 00:22:13,176.0,,1727.0,20.0,19.0,72.0,24.0,5132.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,20,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,,,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2893.0,2893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,,357.0,102.0,16.0,53.0,17.0,3424.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,166.0,159.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,832.0,832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,322.0,58.0,242.0,176.0,111.0,3220.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,False,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,2841.0,2852.0,,,,,,,,3.0,701.0,,,,,,,,,,,,,,,,,,, +729,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,,172.0,65.0,54.0,6.0,44.0,3093.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,False,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,6.0,6.0,https://pypi.org/project/igel,2021-11-19 16:45:29.543,,1024.0,1025.0,,,,,,,,3.0,53.0,,,,,,,,,,,,,,,,,,, +730,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2864.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,831.0,85.0,30.0,46.0,80.0,2691.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,75.0,75.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,622.0,622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,462.0,126.0,225.0,90.0,183.0,2333.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,138.0,138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,182.0,55.0,895.0,129.0,586.0,1937.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",52.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,16.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-07-15 07:18:56.000000,2024-02-04 20:37:53,1083.0,,281.0,31.0,41.0,35.0,176.0,1902.0,A library for graph deep learning research.,50.0,20,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,517.0,517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,118.0,38.0,11.0,39.0,51.0,1636.0,"A fast, efficient universal vector embedding utility package.",4.0,20,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,9.0,,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,2180.0,2180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,292.0,67.0,202.0,5.0,74.0,1592.0,DELTA is a deep learning based natural language and speech processing platform. LF AI & DATA Projects:..,41.0,20,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],2.0,2.0,https://pypi.org/project/delta-nlp,2020-03-27 04:46:19.000,,76.0,272.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13141.0,3.0,,,,,,,,,,,,,,,,,,,, +737,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,156.0,46.0,3.0,13.0,15.0,1533.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],32.0,32.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,1403.0,1403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,405.0,101.0,36.0,13.0,24.0,1431.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],33.0,33.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,257.0,56.0,65.0,8.0,31.0,1389.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,20,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,4.0,4.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,174.0,174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,98.0,39.0,13.0,15.0,9.0,1273.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,175.0,173.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,2623.0,2623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:34:04.000000,2022-02-02 20:33:18,124.0,,141.0,17.0,11.0,43.0,43.0,1101.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,20,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],174.0,169.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,6220.0,6220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-10-01 18:35:24.000000,2024-10-01 18:33:14,293.0,4.0,62.0,15.0,62.0,9.0,22.0,1062.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",18.0,20,True,2024-10-01 18:35:24.000,3.0.3,35.0,uform,,,,['pytorch'],8.0,6.0,https://pypi.org/project/uform,2024-10-01 18:35:24.000,2.0,1120.0,1141.0,,,,,,,,3.0,481.0,,,,,,,,,,,,,,,,,,, +743,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,169.0,57.0,14.0,30.0,19.0,1029.0,python toolbox for visualizing geographical data and making maps.,8.0,20,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,187.0,185.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,593.0,817.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,9674.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,131.0,36.0,16.0,9.0,4.0,926.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3646.0,3641.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,647.0,647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2024-09-03 22:24:30.000000,2023-06-05 01:35:02,228.0,,129.0,18.0,25.0,28.0,40.0,846.0,python partial dependence plot toolbox.,7.0,20,False,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,14441.0,14782.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,22211.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-10-23 17:51:18.000000,2024-09-30 12:29:20,1251.0,6.0,126.0,30.0,1059.0,37.0,54.0,768.0,Machine learning framework for both deep learning and traditional algorithms.,40.0,20,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,2.0,2.0,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,880.0,880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,147.0,36.0,33.0,26.0,39.0,765.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,117.0,117.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,994.0,994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-10-23 21:48:40.000000,2024-08-07 21:38:41,314.0,,106.0,5.0,3.0,1.0,,722.0,Data Analysis Baseline Library.,24.0,20,True,2024-08-07 20:31:21.000,0.3.1,19.0,dabl,,,,['sklearn'],3.0,,https://pypi.org/project/dabl,2024-08-07 20:31:21.000,3.0,6239.0,6239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +749,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-07-30 21:34:45.000000,2021-09-16 17:56:31,171.0,,150.0,34.0,84.0,16.0,55.0,633.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],31.0,28.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,304.0,304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +750,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2024-07-25 11:20:23.000000,2022-02-09 16:35:40,142.0,,103.0,23.0,26.0,46.0,61.0,614.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],186.0,184.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,4492.0,4616.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,5246.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2024-10-22 13:32:17.000000,2024-08-18 17:07:49,821.0,,41.0,15.0,18.0,,22.0,606.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,20,True,2024-08-18 17:19:42.000,3.1.4,28.0,opytimizer,,,,,19.0,19.0,https://pypi.org/project/opytimizer,2024-08-18 17:19:42.000,,714.0,714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +752,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,75.0,39.0,17.0,14.0,22.0,568.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,22.0,20,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,39.0,35.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,257.0,257.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,554.0,Python library assists deep learning on graphs.,18.0,20,False,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,121.0,119.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,517.0,517.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,, +754,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,109.0,19.0,57.0,27.0,21.0,501.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,False,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,90.0,82.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,3001.0,3001.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +755,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2024-08-20 18:39:53.000000,2021-11-18 21:06:54,172.0,,48.0,9.0,10.0,13.0,21.0,500.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,165.0,157.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,7512.0,7512.0,,,,,,,,3.0,31.0,,,,,,,,,,,,,,,,,,, +756,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-09-23 04:22:16.000000,2023-07-18 10:24:07,542.0,,36.0,14.0,226.0,15.0,40.0,498.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,False,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",24.0,22.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,11835.0,11839.0,,,,,,,,3.0,248.0,,,,,,,,,,,,,,,,,,, +757,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-12-02 15:56:42.000000,2024-11-26 14:53:35,988.0,1.0,92.0,32.0,100.0,18.0,27.0,482.0,A Python implementation of active inference for Markov Decision Processes.,18.0,20,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,14.0,14.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,11943.0,11943.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2024-09-07 07:05:09.000000,2024-09-07 07:05:06,387.0,,98.0,28.0,34.0,41.0,15.0,480.0,A python library for Bayesian time series modeling.,7.0,20,True,2024-08-13 04:20:08.000,0.1.1.13,15.0,pydlm,,,,,39.0,37.0,https://pypi.org/project/pydlm,2024-08-13 04:20:45.000,2.0,39176.0,39176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-12-09 23:29:30.000000,2024-09-24 15:52:47,3054.0,7.0,64.0,12.0,271.0,11.0,112.0,444.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,25.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],5.0,5.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,371.0,371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2024-09-01 04:12:59.669000,2024-08-29 18:18:33,183.0,,38.0,9.0,32.0,17.0,20.0,412.0,A python package for animating plots build on matplotlib.,6.0,20,True,2024-08-29 18:26:55.000,0.4.3,11.0,animatplot,conda-forge/animatplot,,,,66.0,62.0,https://pypi.org/project/animatplot,2024-08-29 17:08:23.000,4.0,982.0,1287.0,https://anaconda.org/conda-forge/animatplot,2024-09-01 04:12:59.669,15251.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-09-06 09:28:23.000000,2024-09-06 09:27:10,824.0,,26.0,9.0,78.0,33.0,23.0,405.0,Flexible time series feature extraction & processing.,6.0,20,True,2024-09-06 09:28:53.000,0.4.1,38.0,tsflex,conda-forge/tsflex,,,,19.0,17.0,https://pypi.org/project/tsflex,2024-09-06 09:26:32.000,2.0,1704.0,2385.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,27947.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-12-11 01:00:10.000000,2024-12-09 21:58:06,405.0,6.0,137.0,34.0,332.0,89.0,138.0,342.0,Brain Imaging Analysis Kit.,35.0,20,True,2019-08-27 23:52:29.000,0.9.1,20.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2024-12-11 01:00:10.000,,3199.0,3216.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1884.0,3.0,,,,,,,,,,,,,,,,,,,, +763,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,47.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],266.0,266.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2561.0,2561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,26.0,22.0,239.0,24.0,25.0,301.0,Textpipe: clean and extract metadata from text.,29.0,20,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,11.0,10.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,472.0,472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,,2021-06-03 12:39:38.000,2024-12-08 16:55:26.000000,2024-12-08 16:55:25,525.0,1.0,58.0,14.0,91.0,26.0,39.0,288.0,Represent trained machine learning models as Pyomo optimization formulations.,21.0,20,False,2024-08-26 15:06:41.000,1.2.0,8.0,omlt,,,,,25.0,22.0,https://pypi.org/project/omlt,2024-08-26 15:06:41.000,3.0,19155.0,19155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-10-17 15:32:02.000000,2024-10-17 15:32:02,431.0,4.0,77.0,21.0,447.0,28.0,51.0,276.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,32.0,20,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,5.0,5.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,432.0,432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-09-13 04:58:28.982000,2024-01-18 11:58:51,626.0,,69.0,28.0,32.0,34.0,113.0,268.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,20,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,2523.0,5220.0,https://anaconda.org/conda-forge/somoclu,2024-09-13 04:58:28.982,134022.0,,,,,3.0,2074.0,,,,,,,,,,,,,,,,,,, +768,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2024-10-28 07:18:15.000000,2024-10-28 07:18:14,592.0,1.0,35.0,24.0,645.0,21.0,129.0,243.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2024-06-21 06:39:45.000,0.16.0,21.0,larq-compute-engine,,,,,10.0,10.0,https://pypi.org/project/larq-compute-engine,2024-06-21 07:18:03.000,,2933.0,2954.0,,,,,,,,3.0,1230.0,,,,,,,,,,,,,,,,,,, +769,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2024-09-26 08:36:59.000000,2024-09-26 08:31:01,28.0,4.0,23.0,8.0,13.0,4.0,11.0,227.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2024-09-26 08:36:59.000,0.2.4,12.0,numerizer,,,,,97.0,94.0,https://pypi.org/project/numerizer,2024-09-26 08:36:59.000,3.0,18046.0,18046.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-08-01 08:27:07.000000,2024-08-01 08:10:33,265.0,,33.0,11.0,202.0,21.0,76.0,205.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",13.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],43.0,42.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1779.0,1779.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,785.0,337.0,58.0,2.0,,6797.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,19,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,209.0,216.0,,,,,,,,3.0,392.0,,,,,,,,,,,,,,,,,,, +772,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,279.0,31.0,22.0,34.0,37.0,3248.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,2374.0,2374.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,179.0,24.0,20.0,19.0,30.0,1737.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,19,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,9.0,9.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,211.0,212.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,, +774,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,174.0,44.0,5.0,4.0,7.0,1134.0,XAI - An eXplainability toolbox for machine learning.,3.0,19,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,35.0,35.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,398.0,398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,181.0,19.0,42.0,28.0,60.0,921.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,19,False,2020-12-01 06:11:12.000,1.2.1.post2,10.0,robustness,conda-forge/robustness,,,,199.0,196.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,671.0,869.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,10317.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,233.0,30.0,38.0,43.0,21.0,863.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,2980.0,2980.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,64.0,69.0,859.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,103.0,102.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2024-06-27 07:32:19.000000,2024-06-27 07:26:43,298.0,,87.0,23.0,50.0,20.0,17.0,855.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2024-06-18 06:17:13.000,0.2.17,23.0,evojax,conda-forge/evojax,,,['jax'],33.0,27.0,https://pypi.org/project/evojax,2024-06-18 06:17:13.000,6.0,1554.0,2503.0,https://anaconda.org/conda-forge/evojax,2024-06-18 11:07:15.191,32283.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2024-08-20 13:45:17.000000,2024-05-05 11:51:05,300.0,,115.0,21.0,27.0,2.0,87.0,739.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,19,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,11574.0,11574.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2024-07-16 19:49:29.000000,2020-04-25 18:37:42,198.0,,102.0,26.0,49.0,15.0,54.0,734.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,31.0,29.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,409.0,409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,26.0,4.0,39.0,42.0,695.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,19,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,4.0,4.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,2537.0,2537.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +782,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2024-10-23 06:29:06.515000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,592.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,19,False,2020-11-15 13:40:18.000,0.4.2,16.0,baikal,conda-forge/cython-blis,,,,15.0,14.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,563.0,46670.0,https://anaconda.org/conda-forge/cython-blis,2024-10-23 06:29:06.515,2351478.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,16.0,571.0,A library of metrics for evaluating recommender systems.,20.0,19,False,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,61.0,61.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,4169.0,4169.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +784,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,138.0,55.0,72.0,18.0,71.0,527.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,23.0,23.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,464.0,464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,22.0,19.0,6.0,20.0,488.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,19,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],15.0,15.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,1138.0,1138.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,40.0,66.0,471.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",56.0,56.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,1084.0,1084.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,73.0,25.0,48.0,18.0,19.0,413.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,4986.0,5414.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,35588.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-12-10 21:13:24.000000,2024-04-26 20:31:49,327.0,,79.0,25.0,349.0,26.0,10.0,343.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,19,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,2013.0,2013.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,341.0,Camphr - NLP libary for creating pipeline components.,8.0,19,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],17.0,15.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,2599.0,2599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,53.0,11.0,60.0,17.0,41.0,333.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,19,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,44.0,40.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,245.0,245.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,,37.0,18.0,6.0,19.0,21.0,315.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,19,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],3.0,,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,3.0,1755.0,1755.0,,,,,,,,3.0,,google-deepmind/launchpad,,,,,,,,,,,,,,,,,, +792,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,,20.0,18.0,464.0,90.0,76.0,236.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],86.0,76.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,5915.0,5915.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,450.0,448.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,918.0,922.0,,,,,,,,3.0,429.0,,,,,,,,,,,,,,,,,,, +794,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,891.0,112.0,51.0,46.0,160.0,6306.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-12-05 23:19:31.000000,2024-12-05 12:22:02,714.0,11.0,441.0,39.0,869.0,149.0,119.0,3356.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,89.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,419.0,106.0,83.0,67.0,48.0,2995.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,99.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,60.0,106.0,27.0,56.0,2141.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,18,False,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],,,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1354.0,1354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,457.0,80.0,36.0,83.0,68.0,1701.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2024-12-10 23:25:36.000000,2024-12-03 12:26:16,792.0,1.0,71.0,28.0,1014.0,127.0,65.0,1649.0,Version control for machine learning.,18.0,18,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,219.0,219.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,254.0,52.0,13.0,20.0,13.0,1548.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,18,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,248.0,267.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1697.0,3.0,,,,,,,,,,,,,,,,,,,, +801,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,109.0,55.0,34.0,22.0,13.0,1268.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,18,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,4.0,3.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,394.0,394.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,93.0,33.0,72.0,31.0,30.0,1109.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,18,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,5784.0,5784.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,85.0,13.0,35.0,3.0,25.0,821.0,Leave One Feature Out Importance.,6.0,18,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,39.0,35.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,3625.0,3625.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +804,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,175.0,33.0,15.0,19.0,22.0,780.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,18,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,102.0,20.0,58.0,2.0,13.0,777.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,18,False,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,9630.0,9630.0,,,,,,,,3.0,48.0,,,,,,,,,,,,,,,,,,, +806,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,65.0,17.0,21.0,29.0,50.0,676.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,5.0,5.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,666.0,666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,71.0,13.0,10.0,26.0,41.0,569.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,54.0,54.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1005.0,1005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-06-08 12:12:57.000000,2024-02-21 14:09:04,30.0,,69.0,7.0,6.0,4.0,32.0,566.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,18,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,22.0,20.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,2460.0,2460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2024-07-19 18:49:00.000000,2024-07-19 16:10:42,70.0,,55.0,18.0,10.0,4.0,18.0,527.0,Topological Data Analysis for Python.,6.0,18,True,2024-07-19 18:49:00.000,1.1.1,6.0,scikit-tda,,,,['sklearn'],65.0,65.0,https://pypi.org/project/scikit-tda,2024-07-19 18:49:00.000,,1008.0,1008.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,,105.0,13.0,130.0,18.0,138.0,481.0,A Python library for dynamic classifier and ensemble selection.,17.0,18,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],3.0,,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,3797.0,3797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-09-18 17:05:04.000000,2023-01-13 21:57:34,832.0,,54.0,,,,,455.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-09-18 17:05:04.000,0.12.2,50.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-09-18 17:05:04.000,3.0,4403.0,4403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,107.0,71.0,7.0,15.0,19.0,431.0,semantic similarity framework for knowledge graph.,10.0,18,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,49.0,49.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,,85.0,20.0,248.0,10.0,23.0,427.0,A toolkit that streamlines and automates the generation of model cards.,22.0,18,False,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,1.0,,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1952.0,1952.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,, +814,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,60.0,8.0,12.0,11.0,18.0,407.0,TextAugment: Text Augmentation Library.,8.0,18,False,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,143.0,139.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,5407.0,5408.0,,,,,,,,3.0,127.0,,,,,,,,,,,,,,,,,,, +815,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,,38.0,12.0,1.0,2.0,80.0,407.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],8.0,8.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,1976.0,1976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,30.0,11.0,121.0,31.0,150.0,344.0,Open source production model management tool for data scientists.,6.0,18,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,7.0,7.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,820.0,820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-07-25 10:59:34.000000,2023-03-28 03:38:13,1094.0,,69.0,28.0,59.0,30.0,32.0,294.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],5.0,5.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,297.0,300.0,,,,,,,,3.0,206.0,,,,,,,,,,,,,,,,,,, +818,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-09-03 22:45:13.000000,2024-03-27 08:46:27,190.0,,41.0,19.0,4.0,10.0,8.0,286.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,18,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],12.0,12.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,1368.0,6139.0,https://anaconda.org/conda-forge/deepgraph,2024-07-11 16:39:33.824,238596.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,solt,Oulu-IMEDS/solt,image,,https://github.com/imedslab/solt,https://github.com/imedslab/solt,MIT,2018-08-02 15:09:05.000,2024-11-22 00:27:00.000000,2024-11-22 00:26:52,380.0,1.0,19.0,6.0,33.0,20.0,44.0,264.0,Streaming over lightweight data transformations.,6.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,63.0,60.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,630.0,630.0,,,,,,,,3.0,,imedslab/solt,,,,,,,,,,,,,,,,,, +820,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,10.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,18,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],17.0,17.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,30494.0,30494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,9.0,44.0,233.0,A library for augmenting annotated audio data.,7.0,18,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,33.0,31.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2024-06-30 08:01:08.000000,2024-06-30 08:01:08,6.0,,57.0,5.0,2.0,3.0,1.0,134.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,10103.0,9974.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,129.0,380396.0,380427.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1280.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1351.0,467.0,21.0,59.0,167.0,7145.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,google-deepmind/lab,,,,,,,,,,,,,,,,,, +824,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,144.0,17.0,11.0,25.0,18.0,1163.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],59.0,57.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,588.0,588.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,110.0,19.0,37.0,20.0,8.0,1042.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,85.0,84.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,37.0,12.0,13.0,8.0,16.0,797.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],48.0,48.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,842.0,941.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,3794.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,57.0,15.0,10.0,26.0,17.0,781.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,61.0,61.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,606.0,606.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +828,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,103.0,24.0,101.0,37.0,84.0,706.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,17,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,,539.0,546.0,,,,,,,,3.0,553.0,,,,,,,,,,,,,,,,,,, +829,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,18.0,19.0,4.0,29.0,642.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,19.0,19.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,176.0,176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,kglib,vaticle/kglib,graph,,https://github.com/typedb/typedb-ml,https://github.com/typedb/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,39.0,106.0,12.0,51.0,550.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,13.0,17,False,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,175.0,178.0,,,,,,,,3.0,251.0,typedb/typedb-ml,,,,,,,,,,,,,,,,,, +831,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,,38.0,21.0,5.0,11.0,23.0,353.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,17,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,254.0,254.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,61.0,31.0,47.0,243.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],22.0,18.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-07-02 00:10:02.000000,2024-06-01 12:08:31,372.0,,37.0,6.0,134.0,,35.0,225.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2022-01-09 08:50:45.005,1.0,3944.0,4054.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3873.0,,,,,3.0,,aniketmaurya/chitra,,,,,,,,,,,,,,,,,, +834,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,46.0,1.0,,,,222.0,Pytorch framework for doing deep learning on point clouds.,29.0,17,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,1207.0,1207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-06-06 14:34:14.000000,2024-06-06 14:27:44,864.0,,17.0,8.0,184.0,11.0,23.0,154.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,8847.0,8847.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,13.0,54.0,13.0,50.0,134.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,17,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,64.0,59.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,31.0,53.0,7.0,7.0,108.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],51.0,51.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,369.0,369.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,123.0,24.0,17.0,353.0,4359.0,An Open-Source Package for Neural Relation Extraction (NRE).,14.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,531.0,176.0,110.0,56.0,149.0,3948.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,138.0,28.0,217.0,102.0,2901.0,A distributed graph deep learning framework.,5.0,16,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],2.0,2.0,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,170.0,61.0,10.0,26.0,6.0,1857.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,82.0,82.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,, +842,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,117.0,20.0,295.0,3.0,70.0,1080.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,16,False,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,7.0,7.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,,57.0,17.0,7.0,,10.0,803.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,,['pytorch'],93.0,92.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,2667.0,2667.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,112.0,28.0,10.0,25.0,51.0,798.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1172.0,1172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,,85.0,16.0,15.0,10.0,22.0,737.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],23.0,23.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,352.0,352.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2018-12-28 23:37:03.000000,,,,150.0,,,51.0,,718.0,Tensorflow wrapper for DataFrames on Apache Spark.,9.0,16,False,2018-05-16 14:20:28.000,0.2.9,2.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,10405.0,10405.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,,128.0,42.0,435.0,25.0,130.0,717.0,GPU accelerated signal processing.,46.0,16,False,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,38.0,24.0,4.0,4.0,2.0,684.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],9.0,7.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,357.0,357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,,57.0,16.0,83.0,18.0,49.0,609.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,16,False,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-06-06 22:38:20.000000,2024-01-25 16:57:26,261.0,,66.0,19.0,101.0,19.0,15.0,494.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,4.0,4.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,610.0,610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-10-29 16:15:42.000000,2024-09-28 19:49:30,81.0,1.0,61.0,16.0,68.0,7.0,9.0,444.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,16,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,12.0,12.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,197.0,197.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,36.0,47.0,5.0,12.0,412.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,5.0,4.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,398.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],12.0,12.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,32.0,23.0,21.0,17.0,10.0,344.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,90.0,90.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,79.0,18.0,93.0,30.0,18.0,318.0,"pandas, scikit-learn, xgboost and seaborn integration.",5.0,16,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",2.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,2.0,2029.0,2029.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,, +856,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2024-07-31 15:16:51.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,243.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,16,False,2021-04-20 13:53:12.000,0.1.2,16.0,backprop,,,,,4.0,4.0,https://pypi.org/project/backprop,2024-07-31 15:16:51.000,,1152.0,1152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,26.0,10.0,15.0,9.0,4.0,224.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,1113.0,1113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,13.0,9.0,2.0,,5.0,208.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,16,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],12.0,10.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,775.0,775.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,19.0,5.0,2.0,17.0,23.0,195.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],14.0,14.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,2286.0,2286.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-11-28 13:08:26.000000,,,,,,,,,,Supercharging Machine Learning.,,16,True,2024-11-28 13:08:26.000,3.47.4,302.0,comet_ml,comet_ml,,,,81.0,,https://pypi.org/project/comet_ml,2024-11-28 13:08:26.000,81.0,506156.0,506156.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,420.0,144.0,72.0,12.0,53.0,2209.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,232.0,39.0,40.0,73.0,34.0,1173.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-08-08 16:55:04.000000,2024-02-05 15:11:35,743.0,,119.0,30.0,111.0,14.0,25.0,1093.0,An autoML framework & toolkit for machine learning on graphs.,16.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,123.0,48.0,22.0,15.0,9.0,852.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],18.0,18.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,203.0,43.0,667.0,28.0,27.0,828.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-09-20 14:21:23.000000,2024-09-20 14:21:18,142.0,2.0,42.0,21.0,171.0,6.0,65.0,516.0,A collection of tools for neural compression enthusiasts.,10.0,15,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,195.0,195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,88.0,21.0,18.0,22.0,2.0,514.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,13.0,13.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,869.0,869.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,68.0,19.0,177.0,87.0,16.0,419.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,15,True,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-08-21 16:55:05.000000,2024-08-21 16:55:05,192.0,,53.0,10.0,17.0,10.0,29.0,418.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,15,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,997.0,997.0,,,,,,,,3.0,20.0,,,,,,,,,,,,,,,,,,, +870,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,55.0,18.0,6.0,6.0,,399.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,12.0,11.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,190.0,329.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,7414.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,39.0,12.0,17.0,2.0,5.0,376.0,A PyTorch Graph Neural Network Library.,8.0,15,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,15.0,11.0,6.0,9.0,6.0,311.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],28.0,28.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,189.0,189.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,64.0,181.0,298.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,423.0,423.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-08-28 21:24:22.000000,2024-08-28 21:24:19,158.0,,11.0,9.0,15.0,2.0,7.0,278.0,A Jax-based library for designing and training transformer models from scratch.,3.0,15,False,2024-08-28 20:41:08.000,0.0.0,8.0,nanodl,,,,['jax'],2.0,2.0,https://pypi.org/project/nanodl,2024-08-28 20:41:08.000,,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,29.0,8.0,6.0,8.0,8.0,252.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,15,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,4.0,4.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,164.0,164.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,72.0,31.0,8.0,231.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,6.0,6.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,284.0,284.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,8.0,7.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,819.0,819.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,28.0,5.0,5.0,6.0,5.0,198.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,15,False,,,23.0,parfit,,,,['sklearn'],29.0,29.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,696.0,696.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,1000.0,63.0,13.0,45.0,26.0,3747.0,Implementation and experiments of graph embedding algorithms.,9.0,14,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2024-08-04 16:33:52.000000,2018-09-19 19:27:00,59.0,,843.0,78.0,35.0,120.0,59.0,3440.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,67.0,26.0,10.0,97.0,1689.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2024-06-17 22:47:46.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,23.0,42.0,85.0,1313.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2024-06-14 21:18:09.000000,2024-06-14 21:18:09,16.0,,153.0,32.0,,53.0,60.0,1237.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,True,,,4.0,,milagraph/graphvite,,,,,,,,,,77.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4963.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,695.0,2270.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,83478.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,37.0,11.0,8.0,10.0,3.0,347.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,2073.0,2073.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,36.0,14.0,18.0,27.0,18.0,125.0,A deep learning python package for neuroimaging data. Made by:.,6.0,14,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,3.0,3.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,137.0,137.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,7.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,14,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,3.0,3.0,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,190.0,190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,43.0,43.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,103.0,28.0,28.0,357.0,3869.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,483.0,108.0,12.0,39.0,8.0,2709.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,86.0,48.0,4.0,3.0,,2571.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1614.0,1616.0,,,,,,,,3.0,78.0,,,,,,,,,,,,,,,,,,, +892,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,174.0,37.0,10.0,13.0,3.0,1370.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2024-08-12 20:48:27.000000,2024-08-12 20:48:27,72.0,,48.0,11.0,11.0,3.0,16.0,786.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",9.0,13,True,,,,rliable`,,,,,168.0,168.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,53.0,17.0,3.0,2.0,1.0,538.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,5.0,5.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,186.0,186.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2024-07-25 10:16:22.000000,2020-05-28 17:31:53,465.0,,16.0,11.0,58.0,4.0,20.0,292.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,113.0,113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-11-13 15:13:21.000000,2022-11-21 12:12:41,1044.0,,12.0,6.0,26.0,1.0,2.0,266.0,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,271.0,276.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,261.0,3.0,11.0,,,,,,,,,,,,,,,,,,, +897,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,28.0,21.0,44.0,1.0,5.0,200.0,An automatic ML model optimization tool.,11.0,13,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,647.0,647.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-06-17 22:44:04.000000,2024-01-09 14:26:42,74.0,,26.0,8.0,17.0,4.0,6.0,193.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],6.0,6.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,452.0,461.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,672.0,3.0,,,,,,,,,,,,,,,,,,,, +900,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,122.0,Tools for training explainable models using attribution priors.,6.0,13,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",6.0,6.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,238.0,238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,112.0,"Better, faster hyper-parameter optimization.",8.0,13,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,6.0,6.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,194.0,194.0,,,,,,,,3.0,,genixpro/hypermax,,,,,,,,,,,,,,,,,, +902,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,,11.0,8.0,4.0,6.0,14.0,106.0,A spaCy wrapper for DBpedia Spotlight.,5.0,13,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,1558.0,1558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +903,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,44.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,13,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,3.0,3.0,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,829.0,829.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,32.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,13,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,8.0,8.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,357.0,357.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,412.0,63.0,6.0,66.0,17.0,1960.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,325.0,90.0,11.0,12.0,6.0,1783.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,26.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,12,False,,,2.0,autodist,,,,['tensorflow'],3.0,3.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +908,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-09-17 10:38:04.000000,2024-09-17 10:34:46,319.0,5.0,7.0,7.0,127.0,9.0,9.0,123.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,12,False,2024-09-17 10:36:38.000,0.2.8,10.0,,,,,['jax'],8.0,8.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,12.0,13.0,26.0,4.0,13.0,86.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,101.0,101.0,,,,,,,,3.0,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,,,, +910,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-07-30 21:36:15.000000,2022-02-09 22:20:11,9.0,,458.0,93.0,22.0,52.0,15.0,3268.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,116.0,44.0,13.0,7.0,20.0,951.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,146.0,39.0,7.0,19.0,14.0,918.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,21.0,12.0,41.0,7.0,12.0,366.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],5.0,5.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,90.0,17.0,5.0,4.0,12.0,624.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,,51.0,16.0,13.0,14.0,11.0,528.0,Library for Textless Spoken Language Processing.,8.0,10,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +916,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,25.0,7.0,2.0,2.0,6.0,149.0,Python package to generate stock portfolios.,4.0,10,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,2.0,2.0,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +917,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,9.0,44.0,,2.0,136.0,A toolset for black-box hyperparameter optimisation.,2.0,10,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,4.0,4.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,89.0,89.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +918,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,12.0,Train off-the-shelf machine learning models in one line of code.,,9,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",2.0,2.0,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +919,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2024-08-11 23:52:21.000000,2022-11-22 16:44:39,2.0,,8.0,8.0,2.0,1.0,,68.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,64.0,64.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index aa703ac..87c42c2 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,35 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- Nilearn (πŸ₯‡39 Β· ⭐ 1.2K Β· πŸ“ˆ) - Machine learning for NeuroImaging in Python. BSD-3 -- horovod (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“ˆ) - Distributed training framework for TensorFlow, Keras, PyTorch,.. Apache-2 -- spleeter (πŸ₯ˆ32 Β· ⭐ 26K Β· πŸ“ˆ) - Deezer source separation library including pretrained models. MIT -- DoWhy (πŸ₯ˆ30 Β· ⭐ 7.2K Β· πŸ“ˆ) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- Qlib (πŸ₯ˆ29 Β· ⭐ 16K Β· πŸ“ˆ) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- ffn (πŸ₯ˆ29 Β· ⭐ 2K Β· πŸ“ˆ) - ffn - a financial function library for Python. MIT -- spacy-transformers (πŸ₯ˆ29 Β· ⭐ 1.4K Β· πŸ“ˆ) - Use pretrained transformers like BERT, XLNet and.. MIT spacy -- NuPIC (πŸ₯‰28 Β· ⭐ 6.3K Β· πŸ“ˆ) - Numenta Platform for Intelligent Computing is an implementation of.. MIT -- DeepVariant (πŸ₯‰27 Β· ⭐ 3.2K Β· πŸ“ˆ) - DeepVariant is an analysis pipeline that uses a deep.. BSD-3 -- Elephas (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras +- CuPy (πŸ₯‡39 Β· ⭐ 9.6K Β· πŸ“ˆ) - NumPy & SciPy for GPU. MIT +- pyecharts (πŸ₯ˆ38 Β· ⭐ 15K Β· πŸ“ˆ) - Python Echarts Plotting Library. MIT +- espnet (πŸ₯‡38 Β· ⭐ 8.6K Β· πŸ“ˆ) - End-to-End Speech Processing Toolkit. Apache-2 +- FiftyOne (πŸ₯ˆ37 Β· ⭐ 9K Β· πŸ“ˆ) - Visualize, create, and debug image and video datasets.. Apache-2 +- MMDetection (πŸ₯ˆ36 Β· ⭐ 30K Β· πŸ’€) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 +- torchaudio (πŸ₯ˆ35 Β· ⭐ 2.6K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 +- torchtext (πŸ₯ˆ33 Β· ⭐ 3.5K Β· πŸ“ˆ) - Models, data loaders and abstractions for language.. BSD-3 +- TensorFlow I/O (πŸ₯ˆ30 Β· ⭐ 710 Β· πŸ“ˆ) - Dataset, streaming, and file system extensions.. Apache-2 +- layout-parser (πŸ₯‰28 Β· ⭐ 5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +- quinn (πŸ₯‰26 Β· ⭐ 650 Β· πŸ“ˆ) - pyspark methods to enhance developer productivity. Apache-2 ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- pyecharts (πŸ₯ˆ33 Β· ⭐ 15K Β· πŸ“‰) - Python Echarts Plotting Library. MIT -- espnet (πŸ₯‡33 Β· ⭐ 8.6K Β· πŸ“‰) - End-to-End Speech Processing Toolkit. Apache-2 -- torchaudio (πŸ₯ˆ28 Β· ⭐ 2.6K Β· πŸ“‰) - Data manipulation and transformation for audio signal.. BSD-2 -- CuPy (πŸ₯ˆ27 Β· ⭐ 9.5K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT -- torchtext (πŸ₯ˆ27 Β· ⭐ 3.5K Β· πŸ“‰) - Models, data loaders and abstractions for language.. BSD-3 -- TensorFlow I/O (πŸ₯‰24 Β· ⭐ 710 Β· πŸ“‰) - Dataset, streaming, and file system extensions.. Apache-2 -- fastNLP (πŸ₯‰23 Β· ⭐ 3.1K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 -- layout-parser (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- data-validation (πŸ₯‰21 Β· ⭐ 770 Β· πŸ“‰) - Library for exploring and validating machine learning.. Apache-2 -- quinn (πŸ₯‰19 Β· ⭐ 650 Β· πŸ“‰) - pyspark methods to enhance developer productivity. Apache-2 - -## βž• Added Projects - -_Projects that were recently added to this best-of list._ - -- ridgeplot (πŸ₯‰24 Β· ⭐ 150 Β· βž•) - Beautiful ridgeline plots in Python. MIT +- Catboost (πŸ₯ˆ42 Β· ⭐ 8.1K Β· πŸ“‰) - A fast, scalable, high performance Gradient Boosting on.. Apache-2 +- speechbrain (πŸ₯‡39 Β· ⭐ 9K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 +- ivy (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ“‰) - Convert Machine Learning Code Between Frameworks. ❗️Intel-ACPI +- Bayesian Optimization (πŸ₯‡32 Β· ⭐ 8K Β· πŸ“‰) - A Python implementation of global optimization with.. MIT +- stanza (πŸ₯ˆ32 Β· ⭐ 7.3K Β· πŸ“‰) - Stanford NLP Python library for tokenization, sentence.. Apache-2 +- librosa (πŸ₯ˆ31 Β· ⭐ 7.2K Β· πŸ“‰) - Python library for audio and music analysis. ISC +- PyKEEN (πŸ₯ˆ31 Β· ⭐ 1.7K Β· πŸ“‰) - A Python library for learning and evaluating knowledge graph embeddings. MIT +- SALib (πŸ₯ˆ31 Β· ⭐ 890 Β· πŸ“‰) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST,.. MIT +- DIPY (πŸ₯ˆ31 Β· ⭐ 720 Β· πŸ“‰) - DIPY is the paragon 3D/4D+ medical imaging library in Python... ❗Unlicensed +- evaluate (πŸ₯ˆ30 Β· ⭐ 2.1K Β· πŸ“‰) - Evaluate: A library for easily evaluating machine learning.. Apache-2