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…

rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.

The Linux SDK for The Imaging Source cameras.

Deep Reinforcement Learning for Keras.

Deep Reinforcement Learning for Keras.

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Python Implementation of Reinforcement Learning: An Introduction

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Code samples for my book "Neural Networks and Deep Learning"

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.

Programming assignments from Coursera's Machine Learning course taught by Andrew Ng.