DeepMind

Repositories

• acme

  A library of reinforcement learning components and agents
  Python Apache-2.0 71 1,025 2 1 Updated Jun 5, 2020

• dm-haiku

  JAX-based neural network library

  machine-learning deep-neural-networks deep-learning neural-networks jax
  Python Apache-2.0 41 597 6 2 Updated Jun 5, 2020

• kapitan

  Generic templated configuration management for Kubernetes, Terraform and other things

  python docker kubernetes devops aws-kms jinja2 terraform
  Python 120 1,195 45 (6 issues need help) 8 Updated Jun 5, 2020

• graph_nets

  Build Graph Nets in Tensorflow

  deep-learning tensorflow graphs artificial-intelligence neural-networks sonnet graph-networks
  Python Apache-2.0 655 4,386 7 2 Updated Jun 3, 2020

• tree

  tree is a library for working with nested data structures
  Python Apache-2.0 7 76 3 0 Updated Jun 2, 2020

• dm_env

  A Python interface for reinforcement learning environments

  python api machine-learning reinforcement-learning deep-learning interface
  Python Apache-2.0 16 69 0 1 Updated Jun 2, 2020

• spriteworld

  Spriteworld: a flexible, configurable python-based reinforcement learning environment

  environment sprites procedural rl deepmind generative
  Python Apache-2.0 40 311 0 0 Updated Jun 1, 2020

• bsuite

  bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
  Python Apache-2.0 119 1,001 1 0 Updated May 29, 2020

• dm_control

  The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

  machine-learning reinforcement-learning deep-learning artificial-intelligence neural-networks physics-simulation mujoco
  Python Apache-2.0 314 1,849 16 0 Updated May 20, 2020

• sonnet

  TensorFlow-based neural network library

  machine-learning deep-learning tensorflow artificial-intelligence neural-networks
  Python Apache-2.0 1,210 8,364 9 1 Updated May 14, 2020

• pysc2

  StarCraft II Learning Environment

  machine-learning reinforcement-learning starcraft-ii-replays starcraft-ii blizzard-api deepmind
  Python Apache-2.0 1,045 6,884 31 (3 issues need help) 7 Updated May 14, 2020

• dm_env_rpc

  A networking protocol for agent-environment communication
  Python Apache-2.0 1 15 0 0 Updated May 7, 2020

• rlax
  Python Apache-2.0 27 396 0 0 Updated May 1, 2020

• lamb

  LAnguage Modelling Benchmarks
  Python Apache-2.0 11 90 2 1 Updated Apr 23, 2020

• trfl

  TensorFlow Reinforcement Learning
  Python Apache-2.0 358 3,002 2 1 Updated Apr 20, 2020

• dm_memorytasks

  A set of 13 diverse machine-learning tasks that require memory to solve.
  Python Apache-2.0 7 143 0 0 Updated Apr 7, 2020

• ai-safety-gridworlds

  This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
  Python Apache-2.0 87 440 0 1 Updated Feb 12, 2020

• wasserstein_fairness

  An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.

  fairness optimal-transport
  Python Apache-2.0 4 8 0 1 Updated Jan 26, 2020

• leaps-and-bounds

  This is an implementation of LeapsAndBounds and Structured Procrastination for approximately optimal algorithm configuration.
  Python Apache-2.0 1 6 0 1 Updated Jan 26, 2020

• learning-to-learn

  Learning to Learn in TensorFlow

  machine-learning deep-learning artificial-intelligence neural-networks
  Python Apache-2.0 601 3,977 10 4 Updated Jan 19, 2020

• streetlearn

  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
  Python Apache-2.0 36 195 2 0 Updated Dec 20, 2019

• interval-bound-propagation

  This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715
  Python Apache-2.0 15 86 1 0 Updated Dec 20, 2019

• hanabi-learning-environment

  hanabi_learning_environment is a research platform for Hanabi experiments.
  Python Apache-2.0 87 487 9 2 Updated Dec 2, 2019

• deep-verify
  Python Apache-2.0 2 4 0 0 Updated Nov 11, 2019

• gqn-datasets

  Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.
  Python Apache-2.0 32 246 6 1 Updated Oct 20, 2019

• multi_object_datasets

  Multi-object image datasets with ground-truth segmentation masks and generative factors.

  segmentation deepmind datasets representation-learning
  Python Apache-2.0 13 95 5 0 Updated Sep 24, 2019

• kinetics-i3d

  Convolutional neural network model for video classification trained on the Kinetics dataset.
  Python Apache-2.0 379 1,177 75 4 Updated Sep 12, 2019

• pycolab

  A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!
  Python Apache-2.0 103 575 0 0 Updated Sep 6, 2019

• Temporal-3D-Pose-Kinetics

  Exploiting temporal context for 3D human pose estimation in the wild: 3D poses for the Kinetics dataset
  Python Apache-2.0 15 156 1 0 Updated Jul 16, 2019

• mathematics_dataset

  This dataset code generates mathematical question and answer pairs, from a range of question types at roughly school-level difficulty.
  Python Apache-2.0 158 1,188 2 0 Updated Jun 5, 2019