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benchmark-validation-wmbp

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

example-repo-0.1

Example of a typical repository with the basic structure to be included

hybrid_augment

Development of the memory dynamics in AuGMEnT network to enable learning on hierarchical tasks, like 12ax. We introduced a differentiable leaky control system that allows the network to forget non-relevant cues. Thus, we implemented a variant of the AuGMEnT network, named hybrid AuGMEnT, which employs an hybrid memory with both leaky and non-leaky cells in order to learn on multiple termporal scales.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

mesh-simplification

A mesh simplification strategy for non-planar spatial regression with a penalized term. This is a joined project for NAPDE and APSC courses.

meshsimplification

A C++ library implementing an edge collapse-based simplification routine for three-dimensional surface grids with distributed data

ntm-one-shot-tf

One Shot Learning using Memory-Augmented Neural Networks based on Neural Turing Machine architecture in Tensorflow

pacs

Examples and exercises for the PACS course

tensorflow

Computation using data flow graphs for scalable machine learning