A Lean Persistent Homology Library for Python
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Updated
Sep 12, 2026 - C++
A Lean Persistent Homology Library for Python
Flexible and efficient persistent homology computation.
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
Topological data analysis of market crashes: persistent homology of four US indices, 1992-2026. The signal measures decoupling, not crash size, and detects rather than predicts.
R package porting Ripser-based persistent homology calculation engines from C++ via Rcpp. Currently ports Ripser (Vietoris-Rips complex) and Cubical Ripser (cubical complex).
Code for EACL Workshop paper Can BERT eat RuCoLA? Topological Data Analysis to Explain
calculator of persistence pair for 2 dimensional pixel data
calculator of persistence pair for 3 dimensional voxel data
Self-directed curriculum for research in TDA - from PH basics to ML integration, built project-first. Accelerated by use of Claude
Topological Data Analysis for Parameter Estimation of Noisy Biexponential Decay (UD GEMS research project)
calculator of persistence pair for 4 dimensional voxel data
Practical reproduction of manifold and topological analysis of ResNet representations on CIFAR-10
Final project for MATH-478 of Spring 2021
Detecting Topological Precursors to Technological Breakthroughs in the USPTO Patent Citation Network. Persistent homology applied to 8.4M patents and 118M citations.
A Ripser add-on enabling exploration of multi-persistence of filtered metric spaces
auxiliary scripts TDA - matlab and R
A UI build around scikit's ripser module to provide more insight into persistence cohomology.
Persistent homology pipeline for detecting neural correlates of consciousness from fMRI — H0/H1/H2, Wasserstein + Müller-Lyer timelines, HMM decoding, topological transfer entropy.
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