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EPFL
- Lausanne, Switzerland
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simplicial_neural_networks
simplicial_neural_networks PublicSimplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.
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dmt-signal-processing
dmt-signal-processing PublicSignal compression and reconstruction on complexes preserving topological features via Discrete Morse Theory
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paper-snn-neurips2020tda
paper-snn-neurips2020tda PublicLaTeX source code of the paper and poster of the paper Simplicial Neural Networks
TeX 7
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ph_biomag2016
ph_biomag2016 PublicClassification of MEG data from Biomag2016 Competition 3 by means of persistent homology.
Python
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allRank
allRank PublicForked from allegro/allRank
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Python
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