Stars
List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.
Code for the "Neural Expectation Maximization" paper.
Baseline scripts of the 8th Audio/Visual Emotion Challenge (AVEC 2018)
Code for the paper Implicit Weight Uncertainty in Neural Networks
Deep Reinforcement Learning (DRL) agents applied to medical images
A clean TensorFlow implementation of Concrete Dropout
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
Reinforcement learning environments with musculoskeletal models
A package of documentation and software supporting MATLAB/Simulink based dynamic modeling and simulation of quadcopter vehicles for control system design
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
A toolkit for controlling Euro Truck Simulator 2 with python to develop self-driving algorithms.
Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832
Efficient Batched Reinforcement Learning in TensorFlow
Implementations of the ICML 2017 paper (with Yarin Gal)
A fantasy map generator based on Martin O'Leary's "Generating fantasy map" notes
dataset and code for 2016 paper "Learning a Driving Simulator"
Using reinforcement learning to teach a car to avoid obstacles.
Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Theano
This is an implementation of LINE(Large-scale information network embedding) algorithm.
An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.
Magenta: Music and Art Generation with Machine Intelligence
Deep learning driven jazz generation using Keras & Theano!