barnesd8 / machine_learning_for_persistence

Related projects ⓘ

Alternatives and complementary repositories for machine_learning_for_persistence

• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆80Updated last year
• tsitsvero / hodgelaplacians
  Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
  ☆27Updated last year
• CSU-TDA / PersistenceImages
  This code accompanies the paper "Persistence Images: A Stable Vector Representation of Persistent Homology".
  ☆42Updated 4 years ago
• samirchowdhury / pypph
  Chowdhury, S. and Mémoli, F., Persistent Path Homology of Directed Networks. SODA 2018.
  ☆13Updated 3 years ago
• topology474 / WKPI
  WKPI: A kernel based on persistent homology
  ☆12Updated 4 years ago
• simonzhang00 / ripser-plusplus
  Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
  ☆101Updated last year
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆23Updated 4 years ago
• c-hofer / graph_filtration_learning
  ☆18Updated 3 years ago
• TeaspoonTDA / teaspoon
  Topological Signal Processing in Python
  ☆23Updated 2 weeks ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆61Updated 3 months ago
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆18Updated last year
• BorgwardtLab / TOGL
  Topological Graph Neural Networks (ICLR 2022)
  ☆117Updated 2 years 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…
  ☆74Updated 3 years ago
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆125Updated 4 months ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 4 years ago
• lizliz / teaspoon
  ☆45Updated last year
• cat-list / cat-list.github.io
  Computational and Applied Topology List
  ☆20Updated last month
• gjkoplik / topology-demos
  explanation / demos of topology concepts
  ☆12Updated 2 years ago
• giotto-ai / giotto-ph
  High performance implementation of Vietoris-Rips persistence.
  ☆43Updated 5 months ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆26Updated 4 years ago
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆157Updated 2 months ago
• DavidLapous / multipers
  [NeurIPS2023,ICML2024] Multiparameter Persistence for Machine Learning
  ☆15Updated last week
• martinroyer / atol
  package for ATOL: Automatic Topologically-Oriented Learning
  ☆24Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆30Updated 3 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆23Updated last year
• rodrigo-pena / graph-learning
  ☆14Updated 7 years ago
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆78Updated this week
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆18Updated last year
• OliverVipond / Multiparameter_Persistence_Landscapes
  Python functions to compute multiparameter persistence landscapes from a RIVET file
  ☆11Updated 4 months ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆35Updated 4 years ago