Stars
Type annotations and dynamic checking for a tensor's shape, dtype, names, etc.
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
State Management and Multiplayer Networking for Turn-Based Games
Interactive Data Visualization in the browser, from Python
With Holoviews, your data visualizes itself.
The interactive graphing library for Python ✨
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Always know what to expect from your data.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
A game theoretic approach to explain the output of any machine learning model.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
[NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
A Hyperparameter Tuning Library for Keras
Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown
The Markdown-based note-taking app that doesn't suck.
Implementation of "Bayesian Learning of Neural Network Architectures"
Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.
Normalizing flows in PyTorch. Current intended use is education not production.
scikit-learn: machine learning in Python
A toolset for black-box hyperparameter optimisation.
Code for the paper "Language Models are Unsupervised Multitask Learners"
The Tensor Algebra SuperOptimizer for Deep Learning