qgallouedec

first-contributions

🚀✨ Help beginners to contribute to open source projects

gradio

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

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

datasets

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

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

trl

Train transformer language models with reinforcement learning.

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

starcoder

Home of StarCoder: fine-tuning & inference!

PokemonRedExperiments

Playing Pokemon Red with Reinforcement Learning

aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

ManimML

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

blog

Public repo for HF blog posts

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

Arcade-Learning-Environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

sample-factory

High throughput synchronous and asynchronous reinforcement learning

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

modular-rl

[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

dmc2gym

OpenAI Gym wrapper for the DeepMind Control Suite

cleanba

CleanRL's implementation of DeepMind's Podracer Sebulba Architecture for Distributed DRL

RL-X

A framework for Reinforcement Learning research.

reincarnating_rl

[NeurIPS 2022] Open source code for reusing prior computational work in RL.

IQN-and-Extensions

PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

prioritized_experience_replay

Prioritized Experience Replay implementation with proportional prioritization

powderworld

Code for Powderworld: A Platform for Understanding Generalization via Rich Task Distributions

pink-noise-rl

Gato-A-Generalist-Agent

Minimal code for A Generalist Agent

karolos

An Open-Source Reinforcement Learning Framework for Robot-Task Environments

torch-gato

Pytorch implementation of the Gato paper from Deepmind

stable-baselines3-contrib-maskable-recurrent-ppo

Combination of Maskable PPO and Recurrent PPO based on the sb3-contrib repository