DeepMind

Repositories

• objecthash-proto

  ObjectHash for protocol buffers
  Go Apache-2.0 12 59 1 0 Updated Jul 1, 2020

• surface-distance

  Library to compute surface distance based performance metrics for segmentation tasks.
  Python Apache-2.0 46 177 1 2 Updated Jul 1, 2020

• tcia-ct-scan-dataset

  Dataset of head and neck CT scans and segmentations in NRRD format.
  CC-BY-4.0 20 53 1 0 Updated Jun 30, 2020

• spriteworld

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

  environment sprites procedural rl deepmind generative
  Python Apache-2.0 46 328 0 0 Updated Jun 1, 2020

• lamb

  LAnguage Modelling Benchmarks
  Python Apache-2.0 13 103 2 1 Updated Apr 23, 2020

• trfl

  TensorFlow Reinforcement Learning
  Python Apache-2.0 370 3,039 3 1 Updated Apr 20, 2020

• narrativeqa

  This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
  Shell Apache-2.0 59 370 0 0 Updated Apr 15, 2020

• dm_memorytasks

  A set of 13 diverse machine-learning tasks that require memory to solve.
  Python Apache-2.0 7 156 0 0 Updated Apr 7, 2020

• neural-processes

  This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
  Jupyter Notebook Apache-2.0 117 688 2 4 Updated Mar 20, 2020

• xquad
  10 68 1 0 Updated Mar 4, 2020

• pg19
  Apache-2.0 16 121 1 0 Updated Feb 25, 2020

• wasserstein_fairness

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

  fairness optimal-transport
  Python Apache-2.0 6 10 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 3 7 0 1 Updated Jan 26, 2020

• learning-to-learn

  Learning to Learn in TensorFlow

  machine-learning deep-learning artificial-intelligence neural-networks
  Python Apache-2.0 602 4,002 10 4 Updated Jan 19, 2020

• 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 19 96 1 0 Updated Dec 20, 2019

• tvt
  6 46 0 0 Updated Nov 22, 2019

• deep-compressed-sensing
  1 2 0 0 Updated Nov 11, 2019

• deep-verify
  Python Apache-2.0 4 8 0 0 Updated Nov 11, 2019

• loopix-messaging

  Anonymous messaging using mix networks
  Go Apache-2.0 12 29 0 1 Updated Nov 5, 2019

• spiral

  We provide a pre-trained model for unconditional 19-step generation of CelebA-HQ images
  C++ Apache-2.0 40 291 3 0 Updated Oct 29, 2019

• gqn-datasets

  Datasets used to train Generative Query Networks (GQNs) in the ‘Neural Scene Representation and Rendering’ paper.
  Python Apache-2.0 35 255 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 16 111 5 0 Updated Sep 24, 2019

• kinetics-i3d

  Convolutional neural network model for video classification trained on the Kinetics dataset.
  Python Apache-2.0 412 1,311 79 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-2.0 106 586 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 20 174 1 0 Updated Jul 16, 2019

• spectral_inference_networks

  Implementation of Spectral Inference Networks, ICLR 2019
  Python Apache-2.0 20 149 1 0 Updated May 23, 2019

• leo

  Implementation of Meta-Learning with Latent Embedding Optimization
  Python Apache-2.0 47 254 1 0 Updated Apr 30, 2019

• torch-randomkit

  Provides and wraps the Randomkit library, copied from Numpy.
  Lua BSD-3-Clause 23 33 9 0 Updated Apr 23, 2019

• dnc

  A TensorFlow implementation of the Differentiable Neural Computer.
  Python Apache-2.0 443 2,400 4 2 Updated Apr 18, 2019

• 3d-shapes

  This repository contains the 3D shapes dataset, used in Kim, Hyunjik and Mnih, Andriy. "Disentangling by Factorising." In Proceedings of the 35th International Conference on Machine Learning (ICML). 2018. to assess the disentanglement properties of unsupervised learning methods.
  Jupyter Notebook Apache-2.0 10 60 1 0 Updated Mar 18, 2019