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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, ... 🧠
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. 🔥
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.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
(⌐■_■) - 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 Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Deep Reinforcement Learning for Keras.
A library of reinforcement learning components and agents
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
Accelerated deep learning R&D
A collection of environments for autonomous driving and tactical decision-making tasks
Tensorforce: a TensorFlow library for applied reinforcement learning
TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control