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

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

Deep Learning Toolkit for Medical Image Analysis

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

C51-DDQN in Keras

Code for the "Neural Expectation Maximization" paper.

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

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

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

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

Implementations of the ICML 2017 paper (with Yarin Gal)

Reinforcement learning benchmarking.

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.

Randomized output tree for multilabel / multi-output regression tasks

A clean TensorFlow implementation of Concrete Dropout