Python library for multiparameter persistence
Scikit-style multiparameter persistent homology, using signed measure and their representation for machine learning.
A data pipeline that represents point clouds as multi-parameter persistent homology landscapes for deep learning models
This repository contains the LaTeX source files of the paper submitted to arXiv: "Retrieving biparameter persistence modules from monoparameter ones: a characterization of hook-decomposable persistence modules"
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