AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A high-throughput and memory-efficient inference and serving engine for LLMs

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

PyTorch Tutorial for Deep Learning Researchers

Data validation using Python type hints

Graph Neural Network Library for PyTorch

SGLang is a high-performance serving framework for large language models and multimodal models.

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Train transformer language models with reinforcement learning.

AgentScope: Agent-Oriented Programming for Building LLM Applications

GenAI Agent Framework, the Pydantic way

Gel supercharges Postgres with a modern data model, graph queries, Auth & AI solutions, and much more.

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Statsmodels: statistical modeling and econometrics in Python

An open access book on scientific visualization using python and matplotlib

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

Bayesian Modeling and Probabilistic Programming in Python

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that sho…

Uplift modeling and causal inference with machine learning algorithms

Model interpretability and understanding for PyTorch

Interact with your SQL database, Natural Language to SQL using LLMs

Entropy Based Sampling and Parallel CoT Decoding

An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"