TTK - Topological Data Analysis and Visualization - Source Code

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.

Code for the NeurIPS 2019 paper: Topology-Preserving Deep Image Segmentation

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

Topological Data Analysis Routines

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

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

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

Parallel reduction of boundary matrices for Persistent Homology with CUDA

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

Unsupervised image segmentation by applying topological data analysis techniques.

Topological Signal Processing in Python