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SGLang is a fast serving framework for large language models and vision language models.
This repository contains the Hugging Face Agents Course.
Simple, unified interface to multiple Generative AI providers
A fancy, easy-to-use and reactive self-hosted docker compose.yaml stack-oriented manager
Drag & drop UI to build your customized LLM flow
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with LlamaIndex, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
Kickstart your LLMOps initiative with a flexible, robust, and productive Python package.
A course on aligning smol models.
DSPy: The framework for programming—not prompting—language models
Langflow is a low-code app builder for RAG and multi-agent AI applications. It’s Python-based and agnostic to any model, API, or database.
Scalable and user friendly neural 🧠 forecasting algorithms.
Building a modern alternative to Salesforce, powered by the community.
Knowledge Table is an open-source package designed to simplify extracting and exploring structured data from unstructured documents.
Scalable machine 🤖 learning for time series forecasting.
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
AdalFlow: The library to build & auto-optimize LLM applications.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Train transformer language models with reinforcement learning.
Lightning ⚡️ fast forecasting with statistical and econometric models.
We write your reusable computer vision tools. 💜
A high-throughput and memory-efficient inference and serving engine for LLMs
NeuralProphet: A simple forecasting package
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Best Practices on Recommendation Systems
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.