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

Flexible and efficient persistent homology computation.

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

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

A Persistent Weisfeiler–Lehman Procedure for Graph Classification

awesome-topology-driven-deep-image-analysis

Topological Signal Processing in Python

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"

Python library for multiparameter persistence

flooder: a package for constructing the Flood complex, a lightweight filtered simplicial complex.

Parallel reduction of boundary matrices for Persistent Homology with CUDA

Unsupervised image segmentation by applying topological data analysis techniques.

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

Vectorization of persistence diagrams and approximate Wasserstein distance

Tutorial on Topological Data Analysis

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

ggplot2 extension to visualize persistent homology

Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'

Homology assisted CNN for image classification

Custom filtration constructors for Python

Quantitative strategy for the Ibovespa that combines Topological Data Analysis (with Persistent Homology & Mapper), classical factors and meta-models, regime-sensitive HRP. Achieved top 4%.