The best ChatGPT that $100 can buy.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

A community-maintained Python framework for creating mathematical animations.

DSPy: The framework for programming—not prompting—language models

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Graph Neural Network Library for PyTorch

verl: Volcano Engine Reinforcement Learning for LLMs

Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS

Mamba SSM architecture

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

StarCraft II Learning Environment

A free, online learning platform to make quality education accessible for all.

Open-source implementation of AlphaEvolve

AIOS: AI Agent Operating System

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

A simple, performant and scalable Jax LLM!

A Graph Neural Network Library in Jax

An Open Source package that allows video game creators, AI researchers and hobbyists the opportunity to learn complex behaviors for their Non Player Characters or agents

RewardBench: the first evaluation tool for reward models.

ALFWorld: Aligning Text and Embodied Environments for Interactive Learning

Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"

Code for STaR: Bootstrapping Reasoning With Reasoning (NeurIPS 2022)

All credits go to HuggingFace's Daily AI papers (https://huggingface.co/papers) and the research community. 🔉Audio summaries here (https://t.me/daily_ai_papers).

Code for ICLR 2023 paper "Imitating Human Behaviour with Diffusion Models"

Example Environments for the Godot RL Agents library

Official repository for the paper "Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning". Joint collaboration between the Marks lab and the OATML group.

Official repository for "Direct Advantage Estimation"

Code and pretrained models for the ICLR 2022 paper "The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models"