DeepMind

TensorFlow-based neural network library

StarCraft II Learning Environment

Generic templated configuration management for Kubernetes, Terraform and other things

The DeepMind Control Suite and Package

Implementation of Spectral Inference Networks, ICLR 2019

Build Graph Nets in Tensorflow

Exploiting temporal context for 3D human pose estimation in the wild: 3D poses for the Kinetics dataset

A customisable 3D platform for agent-based AI research

Implementation of Meta-Learning with Latent Embedding Optimization

A C++/Python implementation of the StreetLearn environment based on images from Street View, as well as a TensorFlow implementation of goal-driven navigation agents solving the task published in “Learning to Navigate in Cities Without a Map”, NeurIPS 2018

A TensorFlow implementation of the Differentiable Neural Computer.

TensorFlow Reinforcement Learning

Convolutional neural network model for video classification trained on the Kinetics dataset.

Library to compute surface distance based performance metrics for segmentation tasks.

Torch interface to HDF5 library

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018

Learning to Learn in TensorFlow

Implementation of the supervised learning experiments in Vector-based navigation using grid-like representations in artificial agents, as published at https://www.nature.com/articles/s41586-018-0102-6