Alternatives and similar repositories for Topology-and-Learning

Users that are interested in Topology-and-Learning are comparing it to the libraries listed below

• louaaron / TopologicalDeepLearning
  A collection of Topology Methods in Deep Learning
  ☆17Updated 5 years ago
• geomstats / challenge-iclr-2021
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆50Updated 2 years ago
• joeybose / HyperbolicNF
  ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows
  ☆54Updated 2 years ago
• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆56Updated 3 years ago
• scikit-tda / pervect
  Vectorization of persistence diagrams and approximate Wasserstein distance
  ☆27Updated 5 years ago
• pimdh / lie-vae
  VAEs with Lie Group latent space
  ☆99Updated 3 years ago
• geomstats / challenge-iclr-2022
  GitHub repository for the ICLR Computational Geometry & Topology Challenge 2021
  ☆51Updated 3 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• dimkal89 / rvae
  ☆38Updated 4 years ago
• c-hofer / jmlr_2019
  Code for JMLR paper ``Learning Representations of Persistence Barcodes``
  ☆24Updated 5 years ago
• c-hofer / torchph
  The essence of my research, distilled for reusability. Enjoy 🥃!
  ☆67Updated 10 months ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 5 years ago
• icemiliang / pyvot
  A Python implementation of Monge optimal transportation
  ☆49Updated last year
• c-hofer / tda-toolkit
  My persistent homology related code.
  ☆26Updated 5 years ago
• necludov / iMCMC
  ☆22Updated 4 years ago
• topnn / topnn_framework
  ☆31Updated 4 years ago
• Pseudomanifold / pyper
  Python-based persistent homology algorithms
  ☆19Updated last year
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆119Updated last year
• c-hofer / nips2017
  Deprecated repository for "Deep Learning with Topological Signatures"
  ☆36Updated 5 years ago
• BorgwardtLab / topological-autoencoders
  Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
  ☆149Updated 3 years ago
• jkim82133 / pllay
  PLLay: Efficient Topological Layer based on Persistence Landscapes
  ☆21Updated 4 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…
  ☆79Updated 4 years ago
• MathieuCarriere / difftda
  Persistence differentiation with Gudhi and Tensorflow
  ☆18Updated last year
• mblondel / smooth-ot
  Python implementation of smooth optimal transport.
  ☆58Updated 4 years ago
• jliu / graph-normalizing-flows
  Code for Graph Normalizing Flows.
  ☆62Updated 5 years ago
• phlippe / CategoricalNF
  Official repository for "Categorical Normalizing Flows via Continuous Transformations"
  ☆56Updated 4 years ago
• xbresson / IPAM_Tutorial_2019
  Notebooks for IPAM Tutorial, March 15 2019
  ☆24Updated 6 years ago
• facebookresearch / Addressing-the-Topological-Defects-of-Disentanglement
  Repo reproducing experimental results in "Addressing the Topological Defects of Disentanglement"
  ☆22Updated 2 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 5 years ago