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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
SGLang is a high-performance serving framework for large language models and multimodal models.
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.
FinRL®: Financial Reinforcement Learning. 🔥
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Machine learning, in numpy
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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.
An elegant PyTorch deep reinforcement learning library.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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)
SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
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.
StarCraft II Learning Environment
Playing Pokemon Red with Reinforcement Learning
Type-safe, distributed orchestration of agents, ML pipelines, and real-time inference on your k8s — in pure Python with async/await, also other languages (rust, go and ts)
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).
Puffing up reinforcement learning