Ripser: efficient computation of Vietoris–Rips persistence barcodes

A Lean Persistent Homology Library for Python

The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.

Topological Data Analysis Routines

Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

Topological Graph Neural Networks (ICLR 2022)

A library for exploring persistent homology

RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.

Flexible and efficient persistent homology computation.

The essence of my research, distilled for reusability. Enjoy 🥃!

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

Persistent homology calculation for 1D (scalar time series), 2D (image), and 3D (voxel) arrays

SHAPR: Code for "Capturing Shape Information with Multi-Scale Topological Loss Terms for 3D Reconstruction"

R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.

Code for the paper 'Neural Persistence: A Complexity Measure for Deep Neural Networks Using Algebraic Topology'

Parallel reduction of boundary matrices for Persistent Homology with CUDA

Unsupervised image segmentation by applying topological data analysis techniques.

A package for various computations with simplicial complexes, combinatorial codes, directed complexes and their filtrations.

Vectorization of persistence diagrams and approximate Wasserstein distance

Topological Signal Processing in Python