Alternatives and similar repositories for TopologicalDeepLearning

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

• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆125Updated 2 years ago
• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆53Updated 3 years ago
• Chen-Cai-OSU / Topology-and-Learning
  Papers on Topology + Learning.
  ☆14Updated 5 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆65Updated 2 years ago
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆54Updated 3 years ago
• mauriceweiler / MobiusCNNs
  This repository implements and evaluates convolutional networks on the Möbius strip as toy model instantiations of Coordinate Independent…
  ☆76Updated 2 years ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆153Updated 4 years ago
• simonzhang00 / ripser-plusplus
  Ripser++: GPU-accelerated computation of Vietoris–Rips persistence barcodes
  ☆121Updated 2 years ago
• topnn / topnn_framework
  ☆35Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆233Updated 5 years ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆28Updated 5 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆73Updated last year
• MathieuCarriere / perslay
  Implementation of the PersLay layer for persistence diagrams
  ☆84Updated 2 years ago
• MachineLearningLifeScience / stochman
  Algorithms for computations on random manifolds made easier
  ☆94Updated 2 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆50Updated 4 years ago
• aidos-lab / pytorch-topological
  A topological machine learning framework based on PyTorch
  ☆200Updated 3 months ago
• gjkoplik / topology-demos
  explanation / demos of topology concepts
  ☆14Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 5 years ago
• BorgwardtLab / fMRI_Cubical_Persistence
  Code of our NeurIPS 2020 publication 'Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence'
  ☆25Updated 5 years ago
• bruel-gabrielsson / TopologyLayer
  A Topology Layer for Machine Learning : Persistent Homology + Features for PyTorch
  ☆421Updated last year
• google-research / ott
  ☆214Updated 3 years ago
• scikit-tda / persim
  Distances and representations of persistence diagrams
  ☆133Updated this week
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆24Updated 5 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 3 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 4 years ago
• mfinzi / LieConv
  ☆274Updated 2 years ago
• mfinzi / equivariant-MLP
  A library for programmatically generating equivariant layers through constraint solving
  ☆280Updated 2 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆33Updated 5 years ago