Open Source Code

Multi-Task Self-Supervised Resnet V2

A vision network trained via large-scale multi-task self-supervised learning

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I3D model

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

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DNC

A TensorFlow implementation of the Differentiable Neural Computer, which accompanies our Nature paper 'Hybrid computing using a neural network with dynamic external memory'.

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DeepMind Sonnet

Sonnet is a high level library to build complex neural network structures in TensorFlow. 

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L2L in TensorFlow

Learning to Learn (L2L) is a TensorFlow implementation of 'Learning to learn by gradient descent by gradient descent', a fully differentiable approach which learns optimization algorithms by optimizing them.

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DQN 

Source code of DQN 3.0, a Lua-based deep reinforcement learning architecture for reproducing the experiments described in our Nature paper 'Human-level control through deep reinforcement learning'.

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