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!

TensorFlow code and pre-trained models for BERT

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

Reverse engineered ChatGPT API

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)

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

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