Distances and representations of persistence diagrams
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Updated
Aug 2, 2026 - Python
Distances and representations of persistence diagrams
Unsupervised image segmentation by applying topological data analysis techniques.
Custom filtration constructors for Python
Matlab and Python code to compute perturbed topological signatures (PTS), an efficient topological representation that lies on the Grassmann manifold.
Persistence Diagrams in Julia
A Riemannian framework for statistical analysis of topological persistence diagrams
Persistence Diagram for Structural Recognition
[CVPR 2026] Reference implementation of the Filtration Transformer (filtr) from the paper: "FILTR: Extracting Topological Features from Pretrained 3D Models"
Computing ER-staircode in python
Code to Compute Tropical Sufficient Statistics for Persistent Homology
Draw 2D shapes and visualize persistence diagrams/images
A small but developing tool for fast computation of Persistence Diagrams of Flag Filtrations.
'Wasserstein Dictionaries for Persistence Diagrams' - TDA MVA'25
Mirror for RFPKOG
Implementation of Persistent Homology Transform
Python implementation for computing the 2D matching distance and bottleneck distances between multivariate functions on triangulated surfaces.
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