GitHub - google-deepmind/alphafold: Open source code for AlphaFold.You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window. Reload to refresh your session. You switched accounts on another tab or window. Reload to refresh your session. Dismiss alert
deepmind/dnc: A TensorFlow implementation of the Differentiable Neural Computer.
The Differentiable Neural Computer is a recurrent neural network. At each timestep, it has state consisting of the current memory contents (and auxiliary information such as memory usage), and maps input at time t to output at time t. It is implemented as a collection of RNNCore modules, which allow plugging together the different modules to experiment with variations on the architecture. The acce
GitHub - google-deepmind/sonnet: TensorFlow-based neural network library
Sonnet has been designed and built by researchers at DeepMind. It can be used to construct neural networks for many different purposes (un/supervised learning, reinforcement learning, ...). We find it is a successful abstraction for our organization, you might too! More specifically, Sonnet provides a simple but powerful programming model centered around a single concept: snt.Module. Modules can h
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GitHub - deepmind/graph_nets: Build Graph Nets in Tensorflow
GitHub - deepmind/trfl: TensorFlow Reinforcement Learning
GitHub - google-deepmind/kinetics-i3d: Convolutional neural network model for video classification trained on the Kinetics dataset.
GitHub - google-deepmind/learning-to-learn: Learning to Learn in TensorFlow
