Repository Index

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.

• reinforcement-learning
• unity3d
• deep-learning
• unity

Machine learning, in numpy

• machine-learning
• neural-networks
• topic-modeling
• gaussian-mixture-models

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

• reinforcement-learning
• reinforcement-learning-algorithms
• machine-learning
• gym

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

• wandb
• reinforcement-learning
• pytorch
• python

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.

• c-plus-plus
• machine-learning
• online-learning
• contextual-bandits

Deep Reinforcement Learning for Keras.

• keras
• tensorflow
• theano
• reinforcement-learning

OpenAI Gym environments for an open-source quadruped robot (SpotMicro)

• openai-gym
• openai-gym-environments
• robotics
• tensorflow

Modular Reinforcement Learning (RL) library (implemented in PyTorch, JAX, and NVIDIA Warp) with support for Gymnasium/Gym, NVIDIA Isaac Lab, MuJoCo Playground and other environments

• reinforcement-learning
• python
• deep-learning
• gym

A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms

Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

• reinforcement-learning
• deep-learning
• pytorch
• pytorch-reinforcement-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Maze Applied Reinforcement Learning Framework

• reinforcement-learning
• python
• machine-learning
• simulation

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

• micropython
• neural-network
• multilayer-perceptron
• mlp

Workbench for practical machine learning in Ruby.

• machine-learning
• machine-learning-algorithms
• neural-network
• neural-networks