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2015-semi

2015-soft3

acgan-pytorch

Pytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs

androidgyro

animalshogi

Animal Shogi AI

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

blackjack

Blackjack game adopting reinforcement learning

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

cube

making rubik's cube solving algorithm..

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

fast-rcnn

Fast R-CNN

forward-thinking-pytorch

Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

gym

A toolkit for developing and comparing reinforcement learning algorithms.

heecheolkim.github.io

iai_kinect2

Tools for using the Kinect One (Kinect v2) in ROS

improved-dynamic-memory-networks-dmn-plus

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

jsk_apc

jsk_recognition

JSK perception ROS packages

keras-acgan

Auxiliary Classifier Generative Adversarial Networks in Keras

libfreenect2

Open source drivers for the Kinect for Windows v2 device

multi_task_fine_manipulation

noreward-rl

[ICML 2017] Curiosity-driven Exploration for Deep Reinforcement Learning by Self-supervised Prediction

pathnet-pytorch

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

policy-gradient-importance-sampling

Policy gradient reinforcement learning algorithm with importance sampling

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

pytorch-dnc

Neural Turing Machine (NTM) & Differentiable Neural Computer (DNC) with pytorch & visdom

pytorch-noreward-rl

pytorch implementation of Curiosity-driven Exploration by Self-supervised Prediction

pytorch-reinforce

PyTorch Implementation of REINFORCE for both discrete & continuous control

relational-networks

Pytorch implementation of "A simple neural network module for relational reasoning" (Relational Networks)