Magenta: Music and Art Generation with Machine Intelligence

Minimal and clean examples of machine learning algorithms implementations

dataset and code for 2016 paper "Learning a Driving Simulator"

Deep learning driven jazz generation using Keras & Theano!

Gaussian processes in TensorFlow

Deep Learning Toolkit for Medical Image Analysis

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

Pretty Tensor: Fluent Networks in TensorFlow

Efficient Batched Reinforcement Learning in TensorFlow

Reinforcement learning environments with musculoskeletal models

Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different locality-sensitive hashes.

"A neural algorithm of Artistic style" in tensorflow

Using reinforcement learning to teach a car to avoid obstacles.

RoBO: a Robust Bayesian Optimization framework

An implementation of Deep Canonical Correlation Analysis (DCCA or Deep CCA) with Keras.

Deep Reinforcement Learning (DRL) agents applied to medical images

Code for the "Neural Expectation Maximization" paper.

C51-DDQN in Keras

This is an implementation of LINE(Large-scale information network embedding) algorithm.

Baseline scripts of the 8th Audio/Visual Emotion Challenge (AVEC 2018)

Implementations of the ICML 2017 paper (with Yarin Gal)

Reinforcement learning benchmarking.

Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk

a python code for deep canonical correlation analysis (dcca) written using numpy

A set of methods that predict the future values of popularity indices for news posts using a variety of features.

Implementation of community-based graph embedding for user classification.

A clean TensorFlow implementation of Concrete Dropout

Randomized output tree for multilabel / multi-output regression tasks