reinforcement-learning

Skywork-R1V is an advanced multimodal AI model series developed by Skywork AI, specializing in vision-language reasoning.

Awesome free machine learning and AI courses with video lectures.

A modular high-level library to train embodied AI agents across a variety of tasks and environments.

[NeurIPS 2024] OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:

🤖 Machine Learning Summer School Guide

Deep Learning and deep reinforcement learning research papers and some codes

Quantitative analysis, strategies and backtests

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

Implementation of papers in 100 lines of code.

Simple and comprehensive tutorials in TensorFlow

A library of enterprise-grade AI agents designed to democratize artificial intelligence and provide free, open-source alternatives to overvalued Y Combinator startups.

Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking, Post Ranking, Relevance, LLM and RL. Please cite our paper "Deep Learning to Rank in Industrial Search Engines, Recommender Systems, and Online Advertising - An Overview and New Perspectives" (TOIS 2026).

A ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

A repo for data science related questions and answers

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch