GUDHI / gudhi-develView external linksLinks
The GUDHI library is a generic open source C++ library, with a Python interface, for Topological Data Analysis (TDA) and Higher Dimensional Geometry Understanding.
☆305Jan 22, 2026Updated 3 weeks ago
Alternatives and similar repositories for gudhi-devel
Users that are interested in gudhi-devel are comparing it to the libraries listed below
Sorting:
- A set of jupyter notebooks for the practice of TDA with the python Gudhi library together with popular machine learning and data sciences…☆455Mar 19, 2025Updated 10 months ago
- A high-performance topological machine learning toolbox in Python☆967Jun 18, 2024Updated last year
- Ripser: efficient computation of Vietoris–Rips persistence barcodes☆347Mar 5, 2024Updated last year
- Topological Data Analysis for Python🐍☆560Dec 15, 2025Updated 2 months ago
- Distances and representations of persistence diagrams☆133Jan 26, 2026Updated 3 weeks ago
- A Lean Persistent Homology Library for Python☆320Jan 19, 2026Updated 3 weeks ago
- TTK - Topological Data Analysis and Visualization - Source Code☆466Jan 30, 2026Updated 2 weeks ago
- Library for computing persistent homology☆155Dec 25, 2025Updated last month
- Topological Data Analysis Routines☆150Updated this week
- A curated list of topological data analysis (TDA) resources and links.☆215Nov 7, 2025Updated 3 months ago
- RIVET is a tool for Topological Data Analysis, in particular two-parameter persistent homology.☆78Mar 29, 2024Updated last year
- Implementation of the PersLay layer for persistence diagrams☆84Sep 28, 2023Updated 2 years ago
- package for ATOL: Automatic Topologically-Oriented Learning☆24Feb 24, 2025Updated 11 months ago
- The essence of my research, distilled for reusability. Enjoy 🥃!☆72Aug 13, 2024Updated last year
- A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch☆424Feb 22, 2024Updated last year
- Topological Data Analysis in Python: Simplicial Complex☆124Feb 1, 2026Updated 2 weeks ago
- Python library for multiparameter persistence☆37Updated this week
- Open source library for combining TDA and Machine Learning☆85Oct 10, 2023Updated 2 years ago
- Synthetic data sets apt for Topological Data Analysis☆36Dec 15, 2025Updated 2 months ago
- PDF and notebooks of GUDHI presentation @ NIPS 2017☆15Jan 22, 2018Updated 8 years ago
- High performance implementation of Vietoris-Rips persistence.☆54May 30, 2024Updated last year
- Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes☆123Mar 16, 2023Updated 2 years ago
- Pedagogical Jupyter notebooks for topological data analysis. Topics include basic shapes, sliding window audio/video, lower star filtrat…☆96Mar 3, 2020Updated 5 years ago
- Eulearning: Euler characteristic tools for topological data analysis☆15Mar 9, 2023Updated 2 years ago
- This contains example code from "A Primer on Topological Data Analysis to Support Image Analysis Tasks in Environmental Science" for runn…☆10Oct 10, 2022Updated 3 years ago
- A generative model of compositionality in symmetric monoidal (Kleisli) categories☆12Oct 4, 2023Updated 2 years ago
- Code for JMLR paper ``Learning Representations of Persistence Barcodes``☆23Mar 6, 2020Updated 5 years ago
- This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".☆45Oct 9, 2020Updated 5 years ago
- Local signatures for 3D shapes with persistent homology☆13Jul 10, 2019Updated 6 years ago
- Python functions to compute multiparameter persistence landscapes from a RIVET file☆14Jul 13, 2024Updated last year
- Python-based persistent homology algorithms☆19Jul 21, 2023Updated 2 years ago
- A python package for computing Persistence Curves☆19Oct 29, 2021Updated 4 years ago
- Chowdhury, S. and Mémoli, F., Persistent Path Homology of Directed Networks. SODA 2018.☆13Mar 30, 2021Updated 4 years ago
- ☆22Mar 10, 2021Updated 4 years ago
- Deep learning made topological.☆91Jul 25, 2024Updated last year
- Flexible and efficient persistent homology computation.☆79Oct 23, 2025Updated 3 months ago
- RipsNet: a general architecture for fast and robust estimation of the persistent homology of point clouds☆22Feb 4, 2022Updated 4 years ago
- Vectorization of persistence diagrams and approximate Wasserstein distance☆28Feb 25, 2020Updated 5 years ago
- Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.☆33Mar 25, 2025Updated 10 months ago