Alternatives and similar repositories for ece594n

Users that are interested in ece594n are comparing it to the libraries listed below

• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆150Updated 3 years ago
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆51Updated 3 years ago
• dimkal89 / rvae
  ☆38Updated 5 years ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 5 years ago
• pyt-team / challenge-icml-2024
  Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2…
  ☆38Updated 4 months ago
• clarafy / conformal-for-design
  ☆31Updated 2 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆67Updated 11 months ago
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆18Updated last year
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 years ago
• tsitsvero / hodgelaplacians
  Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks
  ☆31Updated last year
• google-research / graph-attribution
  Codebase for Evaluating Attribution for Graph Neural Networks.
  ☆81Updated 4 years ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated last year
• pyt-team / TopoEmbedX
  Representation Learning on Topological Domains
  ☆81Updated this week
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• KrishnaswamyLab / DiffusionEMD
  Code corresponding to the paper Diffusion Earth Mover's Distance and Distribution Embeddings
  ☆37Updated 7 months ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• benatorc / OTGNN
  OTGNN code
  ☆55Updated 5 years ago
• tk-rusch / GraphCON
  GraphCON (ICML 2022)
  ☆59Updated 2 years ago
• joeybose / GGM_LOG_Tutorial
  Geometric Generative Model Tutorial at LoG 2024
  ☆27Updated 7 months ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆91Updated last year
• BorgwardtLab / fMRI_Cubical_Persistence
  Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
  ☆24Updated 4 years ago
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆82Updated last year
• MathieuCarriere / perslocsig
  Local signatures for 3D shapes with persistent homology
  ☆13Updated 6 years ago
• NSAPH-Projects / topological-equivariant-networks
  Code for paper E(n)-Equivariant Topological Neural Networks
  ☆35Updated 7 months ago
• danchern97 / RTD_AE
  This is an official repository for "Learning topology-preserving data representations" presented at ICLR 2023 conference.
  ☆32Updated 2 years ago
• aidos-lab / dect-evaluation
  Differentiable Euler Characteristic Transform
  ☆17Updated last year
• aidos-lab / curvature-filtrations
  SCOTT: Synthesizing Curvature Operations and Topological Tools
  ☆14Updated last week
• sissa-data-science / DADApy
  Distance-based Analysis of DAta-manifolds in python
  ☆131Updated 2 weeks ago
• amorehead / awesome-equivariant-network
  Paper list for equivariant neural network
  ☆10Updated 3 years ago