PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (A…

convenience store detector specialized for Tokyo streets

A course in reinforcement learning in the wild

Reinforcement learning resources curated

A customisable 3D platform for agent-based AI research

Travelling Salesman Problem solver in pure Python + some visualizers

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …

My solutions to Kevin Murphy Machine Learning Book

Minimal and Clean Reinforcement Learning Examples

A simple Gridworld environment for Open AI gym

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

Machine learning and data science blog.

practical guides, tutorials, and code samples for ml4a

Python code for Reinforcement Learning: An Introduction

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

The Linux sources and UVC firmwares for The Imaging Source cameras.

Deep Reinforcement Learning for Keras.

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

TensorFlow - A curated list of dedicated resources http://tensorflow.org