#Reinforcement-learning
Showing 60 of 668 repositories tagged #reinforcement-learning, ranked by stars
List of Computer Science courses with video lectures.
Unsloth Studio is a web UI for training and running open models like Gemma 4, Qwen3.6, DeepSeek, gpt-oss locally.
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Learn it. Build it. Ship it for others.
SGLang is a high-performance serving framework for large language models and multimodal models.
๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
FinGPT: Open-Source Financial Large Language Models! Revolutionize ๐ฅ We release the trained model on HuggingFace.
Code for Machine Learning for Trading, 3rd edition โ from data sourcing to live execution.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
The absolute trainer to light up AI agents.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
ใๆๅฎๆฏ ๆทฑๅบฆๅญฆไน ๆ็จใ๏ผๆๅฎๆฏ ่ๅธๆจ่๐๏ผ่นๆไนฆ๐๏ผ๏ผPDFไธ่ฝฝๅฐๅ๏ผhttps://github.com/datawhalechina/leedl-tutorial/releases
Machine learning, in numpy
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Python Implementation of Reinforcement Learning: An Introduction
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Example ๐ Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using ๐ง Amazon SageMaker.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
Simple Reinforcement learning tutorials, ่ซ็ฆPython ไธญๆAIๆๅญฆ
TensorFlow Tutorials with YouTube Videos
A collection of machine learning examples and tutorials.
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Build your neural network easy and fast, ่ซ็ฆPythonไธญๆๆๅญฆ
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Trax โ Deep Learning with Clear Code and Speed
StarCraft II Learning Environment
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Reading list for research topics in multimodal machine learning
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 ๐ and reasoning techniques.
A course in reinforcement learning in the wild
A curated list of awesome self-supervised methods
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
๐ฌ A curated list of awesome LLMs & deep learning strategies & tools in financial market.
Solve Visual Understanding with Reinforced VLMs
Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.
Democratizing Reinforcement Learning for LLMs
Deep Reinforcement Learning for Keras.
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
A Next-Generation Training Engine Built for Ultra-Large MoE Models
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
This repo contains the Hugging Face Deep Reinforcement Learning Course.
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Implement a reasoning LLM in PyTorch from scratch, step by step
Become a cracked AI/ML Research Engineer
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
๐100+ ๅๅ LLM / RL ๅ็ๅพ๐๏ผใๅคงๆจกๅ็ฎๆณใไฝ่ ๅทจ็ฎ๏ผ๐ฅ๏ผ100+ LLM/RL Algorithm Maps ๏ผ
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A curated list of reinforcement learning with human feedback resources (continually updated)