Alternatives and similar repositories for geoopt-layers

Users that are interested in geoopt-layers are comparing it to the libraries listed below

• CUAI / Differentiable-Frechet-Mean
  [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).
  ☆55Updated 3 years ago
• ferrine / hyrnn
  Hyperbolic Neural Networks, pytorch
  ☆86Updated 5 years ago
• fedelopez77 / sympa
  Embedding graphs in symmetric spaces
  ☆30Updated 3 years ago
• oskopek / mvae
  Mixed-curvature Variational Autoencoders (ICLR 2020)
  ☆62Updated 4 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• dalab / matrix-manifolds
  Source code for the "Computationally Tractable Riemannian Manifolds for Graph Embeddings" paper
  ☆36Updated 4 years ago
• sw-gong / MoNet
  Pytorch reproduction of the paper "Gaussian Mixture Model Convolutional Networks" (CVPR 17)
  ☆58Updated 5 years ago
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆72Updated 5 years ago
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆63Updated 2 years ago
• HeddaCohenIndelman / Learning-Gumbel-Sinkhorn-Permutations-w-Pytorch
  LEARNING LATENT PERMUTATIONS WITH GUMBEL-SINKHORN NETWORKS IMPLEMENTATION WITH PYTORCH
  ☆79Updated last year
• tvayer / FGW
  Code for Optimal Transport for structured data with application on graphs
  ☆100Updated 2 years ago
• trneedham / gromov-wasserstein-statistics
  Statistics on the space of asymmetric networks via Gromov-Wasserstein distance
  ☆13Updated 4 years ago
• lchapel / partial-GW-for-PU
  Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…
  ☆21Updated 5 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆68Updated 5 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 years ago
• claying / OTK
  A Pytorch implementation of the optimal transport kernel embedding
  ☆116Updated 4 years ago
• dalab / hyperbolic_nn
  Source code for the paper "Hyperbolic Neural Networks", https://arxiv.org/abs/1805.09112
  ☆178Updated 4 years ago
• Qualcomm-AI-research / gauge-equivariant-mesh-cnn
  ☆62Updated last year
• nmonath / hyperbolic_hierarchical_clustering
  Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Z…
  ☆44Updated 5 years ago
• juntang-zhuang / TorchDiffEqPack
  ☆46Updated last year
• rusty1s / pytorch_spline_conv
  Implementation of the Spline-Based Convolution Operator of SplineCNN in PyTorch
  ☆179Updated 3 weeks ago
• BorgwardtLab / P-WL
  A Persistent Weisfeiler–Lehman Procedure for Graph Classification
  ☆61Updated 3 years ago
• Haggaim / InvariantGraphNetworks
  Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"
  ☆24Updated 4 years ago
• master / tensorflow-riemopt
  A library for optimization on Riemannian manifolds
  ☆110Updated 3 weeks ago
• nimadehmamy / Understanding-GCN
  code for the paper in NeurIPS 2019
  ☆40Updated 2 years ago
• fedelopez77 / gyrospd
  GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
  ☆18Updated 3 years ago
• LingxiaoShawn / PairNorm
  Source code for PairNorm (ICLR 2020)
  ☆76Updated 5 years ago
• mil-tokyo / hyperbolic_nn_plusplus
  Official PyTorch implementation of Hyperbolic Neural Networks++
  ☆69Updated 4 years ago
• dimkal89 / rvae
  ☆38Updated 4 years ago
• xiaoiker / Awesome-Hyperbolic-NeuralNetworks
  Papers and Codes for the deep learning in hyperbolic space
  ☆176Updated 2 years ago