Rhomboid Tiling and Order-k Delaunay Mosaics in C++

FreeU: Free Lunch in Diffusion U-Net (CVPR2024 Oral)

A topological machine learning framework based on PyTorch

Code for the paper "The Persistent Laplacian for Data Science: Evaluating Higher-Order Persistent Spectral Representations of Data"

[ICCV2023] "Vision HGNN: An Image is More than a Graph of Nodes" by Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, and Zhangyang Wang

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

Flexible and efficient persistent homology computation.

ggplot2 extension to visualize persistent homology

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

Python functions to compute multiparameter persistence landscapes from a RIVET file

Python library for multipersistence

Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called simplicial complexes.

A playbook for systematically maximizing the performance of deep learning models.

Julia library for homological persistence

Unsupervised image segmentation by applying topological data analysis techniques.

Computing homology of directed flag complexes (based on https://github.com/Ripser/ripser). Online version: https://homepages.abdn.ac.uk/neurotopology/flagser.html

This is an implementation of functional loops for DNNs on Python3

A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences libraries.

some papers about TDA

Persistent Homology and Topological Data Analysis Library

A sandbox for IoT malware analysis

Noriben - Portable, Simple, Malware Analysis Sandbox

An application of Topological Data Analysis on cell table data

Contains conversation and mp3 in Minna no Nihongo 2nd edition

Topological Data Analysis for Python🐍

A Lean Persistent Homology Library for Python