Alternatives and similar repositories for intrinsicPH

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

• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆51Updated 3 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated 2 years ago
• azlawson / PersistenceCurves
  A python package for computing Persistence Curves
  ☆19Updated 3 years ago
• haguettaz / ChebLieNet
  ChebLieNet, a spectral graph neural network turned equivariant by Riemannian geometry on Lie groups.
  ☆14Updated last year
• lizliz / teaspoon
  ☆44Updated 2 years ago
• ejnnr / steerable_pdos
  Fork of the E2CNN library that adds support for equivariant partial differential operators
  ☆17Updated 3 years ago
• BorgwardtLab / ggme
  Official repository for the ICLR 2022 paper "Evaluation Metrics for Graph Generative Models: Problems, Pitfalls, and Practical Solutions"…
  ☆14Updated 3 years ago
• martinroyer / atol
  package for ATOL: Automatic Topologically-Oriented Learning
  ☆24Updated 6 months ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• gd-vae / gd-vae
  Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This …
  ☆33Updated 3 months ago
• OliverVipond / Multiparameter_Persistence_Landscapes
  Python functions to compute multiparameter persistence landscapes from a RIVET file
  ☆13Updated last year
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆52Updated 3 years ago
• stat-ml / GeoMLE
  This repo contains code for GeoMLE intrinsic dimension estimation algorithm
  ☆20Updated 5 years ago
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆19Updated last year
• ggoh29 / Simplicial-neural-network-benchmark
  Simplicial neural network benchmarking software
  ☆17Updated 3 years ago
• giotto-ai / giotto-ph
  High performance implementation of Vietoris-Rips persistence.
  ☆51Updated last year
• lrnzgiusti / can
  Official repository for Cell Attention Networks
  ☆14Updated last year
• cscarv / riemannian-metric-learning-ot
  ☆17Updated 2 years ago
• tlacombe / topologicalUncertainty
  ☆11Updated 3 years ago
• YuGuangWang / PAN
  Path integral based convolution and pooling
  ☆30Updated 2 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 5 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 2 years ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆24Updated 5 years ago
• scikit-tda / tadasets
  Synthetic data sets apt for Topological Data Analysis
  ☆36Updated last week
• gallego-posada / eman
  Equivariant Mesh Attention Networks
  ☆21Updated 3 years ago
• AmirTag / OT-ICNN
  Learning the optimal transport map via input convex neural neworks
  ☆41Updated 5 years ago
• samirchowdhury / HyperCOT
  Code for computing Hypergraph Co-Optimal Transport distances
  ☆16Updated 2 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆69Updated last year
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago