A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch

Metric Space Magnitude Computations

Distances and representations of persistence diagrams

Python module that identifies Chinese text as being Simplified or Traditional

TensorFlow code and pre-trained models for BERT

A topological machine learning framework based on PyTorch

Python library for multiparameter persistence

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

Code for computing Dowker persistence diagrams

This repository contains the Potsdam Textbook Corpus (PoTeC) which is a natural reading eye-tracking corpus.

Topological Data Analysis Routines

High performance implementation of Vietoris-Rips persistence.