RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

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Overview

RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds

This repository contains the code asscoiated to this arXiv article.

  • tutorial.ipynb is a jupyter-notebook to run a small version of our experiments on a synthetic data set. It has been tested with Tensorflow version 2.5.0.
  • expes_synth_ucr.zip contains code and instructions for reproducing the full experiments on synthetic and UCR time series data sets.
  • expes_3Dshape.zip contains code and instructions for reproducing the full experiments on 3D shape data sets.
Owner
Felix Hensel
Postdoc in Machine Learning and TDA PhD in Mathematics
Felix Hensel
GitHub Repository
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