Alternatives and similar repositories for machine_learning_for_persistence:

Users that are interested in machine_learning_for_persistence are comparing it to the libraries listed below

• tsitsvero / hodgelaplacians
  Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
  ☆29Updated last year
• c-hofer / graph_filtration_learning
  ☆20Updated 4 years ago
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆81Updated last year
• samirchowdhury / pypph
  Chowdhury, S. and Mémoli, F., Persistent Path Homology of Directed Networks. SODA 2018.
  ☆12Updated 4 years ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 4 years ago
• CSU-TDA / PersistenceImages
  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".
  ☆43Updated 4 years ago
• simonzhang00 / ripser-plusplus
  Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
  ☆108Updated 2 years ago
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆18Updated last year
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆65Updated 8 months ago
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆123Updated 2 years ago
• cat-list / cat-list.github.io
  Computational and Applied Topology List
  ☆21Updated 3 months ago
• stefaniaebli / simplicial_neural_networks
  Simplicial neural networks (SNNs), a generalization of graph neural networks to data that live on a class of topological spaces called si…
  ☆79Updated 4 years ago
• martinroyer / atol
  package for ATOL: Automatic Topologically-Oriented Learning
  ☆24Updated 2 months ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆26Updated 5 years ago
• giotto-ai / giotto-ph
  High performance implementation of Vietoris-Rips persistence.
  ☆46Updated 11 months ago
• lizliz / teaspoon
  ☆44Updated 2 years ago
• rodrigo-pena / graph-learning
  ☆14Updated 7 years ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆23Updated 5 years ago
• TeaspoonTDA / teaspoon
  Topological Signal Processing in Python
  ☆27Updated this week
• DavidLapous / multipers
  Python library for multipersistence
  ☆26Updated last week
• luetge / flagser
  Computing homology of directed flag complexes (based on https://github.com/Ripser/ripser). Online version: https://homepages.abdn.ac.uk/n…
  ☆36Updated 4 years ago
• wangru25 / HERMES
  HERMES: A software package for simultaneous topological data analysis (persistent Betti numbers) and geometric data analysis (persistent …
  ☆19Updated last year
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 4 years ago
• gjkoplik / topology-demos
  explanation / demos of topology concepts
  ☆14Updated 2 years ago
• balcilar / gnn-spectral-expressive-power
  Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021
  ☆46Updated 3 years ago
• n-otter / PH-roadmap
  ☆44Updated 7 years ago
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆129Updated last month
• OliverVipond / Multiparameter_Persistence_Landscapes
  Python functions to compute multiparameter persistence landscapes from a RIVET file
  ☆12Updated 9 months ago
• TDA-Jyamiti / fzz
  Fast Computation of Zigzag Persistence
  ☆10Updated last year
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆170Updated 3 weeks ago