Topological Data Analysis Routines
Unsupervised image segmentation by applying topological data analysis techniques.
Software to analyse the topology of vascular networks.
Package for topological data analysis of the big data. It is attempt to study distribution of galaxies in the universe via TDA
Self-directed curriculum for research in TDA - from PH basics to ML integration, built project-first. Accelerated by use of Claude
PyTorch-native persistent topological Laplacians for TDA, with GPU-compatible spectral computations.
2-Mapper is a higher dimensional generalization of the mapper graph.
Persistent homology pipeline for detecting neural correlates of consciousness from fMRI — H0/H1/H2, Wasserstein + Müller-Lyer timelines, HMM decoding, topological transfer entropy.
A demonstration of 3D surface segmentation using persistent homology.
This project aims to analyze images using algebraic topology. The goal is to extract structural information from images through mathematical concepts such as connected components and loops.
Persistent-homology-regularized autoencoder latent spaces in PyTorch (torch-topological)
Topological Early Warning Signals for Flash Crashes: A Proof-of-Concept using Topological Data Analysis (TDA) and Persistent Homology to detect structural market fragility and liquidity voids in Limit Order Books before a crash occurs.
Reproduction of a topological-data-analysis portfolio model (Takens embedding, persistence landscapes) with a tested Python pipeline.
A Shiny for Python dashboard for evaluating imputation quality using Topological Data Analysis (TDA).
To associate your repository with the gudhi topic, visit your repo's landing page and select "manage topics."