Differentiable persistent-homology pipelines for learning simulation-based inference summaries by maximizing local Gaussian Fisher information. Includes experiments on spirals, Gaussian random fiel…

Python Jupyter notebooks for BioImageAnalysis, GPU-accelerated image processing, bio-image data science and more

capturing spatial colocalization and interaction in the TME using topological analysis in spatial transcriptomics data

This provides the necessary code and a short tutorial to run PersiST, an exploratory tool for spatial 'omics datasets.

Gromov-Wasserstein distances for Mapper

An End-to-End Benchmark Suite for Univariate Time-Series Anomaly Detection

Plot 3D triangle meshes

Topological data analysis anomaly detection for timeseries

Computational and Applied Topology List

Solves the generalized Procrustes problem for aligning point clouds.

A 15TB Collection of Physics Simulation Datasets

Overleaf Two-Way Synchronization, modified for the PLM latex (RENATER overleaf cloud)

Overleaf Two-Way Synchronization

Compute the interval replacement of a representation

Synthetic data sets apt for Topological Data Analysis

Topological Data Analysis Routines

Eulearning: Euler characteristic tools for topological data analysis

Mapper filter optimization

Scikit-style multiparameter persistent homology, using signed measure and their representation for machine learning.

density-based clustering for exploratory data analysis based on multi-parameter persistence

an R package collection for topological data analysis

Geometric kernels on manifolds, meshes and graphs

Computing ER-staircode in python

Python library for multiparameter persistence

An object oriented python library for topological data analysis of high-throughput single-cell RNA-seq data