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 Persistent Weisfeiler–Lehman Procedure for Graph Classification

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

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'

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

Custom filtration constructors for Python

Homology assisted CNN for image classification

Python-based persistent homology algorithms

Python bindings and API for the flagser C++ library (https://github.com/luetge/flagser).

This web app can be used to compute and visualize featurized PH barcodes.

Fast Topological Clustering with Wasserstein Distance (ICLR 2022)

Topological features applied to the digits dataset

An enchiridion for instructing mortals in the hidden arts of topological data analysis

Experiments in topological machine learning

flooder

Topology-Guided Knowledge Distillation for Efficient Point Cloud Processing

Topological peak filtering