PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
- reinforcement-learning
- reinforcement-learning-algorithms
- machine-learning
- gym
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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!!
Agent S: the state-of-the-art open source computer use agents
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 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 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)
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow Tutorials with YouTube Videos
(⌐■_■) - 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.
Infrastructure for continually self‑improving agents
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
A course in reinforcement learning in the wild
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Deep Reinforcement Learning for Keras.
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
A library of reinforcement learning components and agents
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
AI Infra / AI Orchestration / AI Control Plane
OpenDILab Decision AI Engine. The Most Comprehensive Reinforcement Learning Framework B.P.
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Debugging, monitoring and visualization for Python Machine Learning and Data Science