All Algorithms implemented in Python

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Robust Speech Recognition via Large-Scale Weak Supervision

A curated list of awesome Machine Learning frameworks, libraries and software.

Inference code for Llama models

The simplest, fastest repository for training/finetuning medium-sized GPTs.

A collection of design patterns/idioms in Python

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

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Python sample codes and textbook for robotics algorithms.

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A cross-platform command-line utility that creates projects from cookiecutters (project templates), e.g. Python package projects, C projects.

Python ProxyPool for web spider

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

Faster Whisper transcription with CTranslate2

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Python Implementation of Reinforcement Learning: An Introduction

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

An elegant PyTorch deep reinforcement learning library.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

The official PyTorch implementation of Google's Gemma models

Unified framework for robot learning built on NVIDIA Isaac Sim

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.