9 citations · 9 across the 1 of their papers we have counts for
2 papers
cs.CG2021★ 9 cited
giotto-ph: A Python Library for High-Performance Computation of Persistent Homology of Vietoris-Rips Filtrations
Julián Burella Pérez, Sydney Hauke, Umberto Lupo +2
We introduce giotto-ph, a high-performance, open-source software package for the computation of Vietoris-Rips barcodes. giotto-ph is based on Morozov and Nigmetov's lockfree (multi…
cs.LG2020
giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration
Guillaume Tauzin, Umberto Lupo, Lewis Tunstall +6
We introduce giotto-tda, a Python library that integrates high-performance topological data analysis with machine learning via a scikit-learn-compatible API and state-of-the-art C+…