Python library for multiparameter persistence
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Updated
Aug 21, 2026 - C++
Python library for multiparameter persistence
Scikit-style multiparameter persistent homology, using signed measure and their representation for machine learning.
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"
Official implementation of the Barcode Admissibility algorithm for 2-parameter persistence modules using bi-Rips filtration. Based on my PhD thesis at the University of Missouri.
Lean-verified counterexamples to dimension-only stability bounds for Hilbert decomposition signed measures in multiparameter persistence.
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