A high-performance topological machine learning toolbox in Python
Kepler Mapper: A flexible Python implementation of the Mapper algorithm.
Topological Data Analysis for Python
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.
Topological Data Analysis in Python
Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
Distances and representations of persistence diagrams
A curated list of topological data analysis (TDA) resources and links.
TD Ameritrade Java Client
SparkTDA is a package for Apache Spark providing Topological Data Analysis Functionalities.
Flexible and efficient persistent homology computation.
Deep learning made topological.
This repository is dedicated for the tutorial on network and topological neuroscience.
Synthetic data sets apt for Topological Data Analysis
R pipeline for computing persistent homology in topological data analysis. See https://doi.org/10.21105/joss.00860 for more details.
Persistent homology calculation for 1D (scalar time series), 2D (image), and 3D (voxel) arrays
Code for the website of the NeurIPS 2020 workshop on 'Topological Data Analysis and Beyond'
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