Alternatives and similar repositories for hiwa-matlab

Users that are interested in hiwa-matlab are comparing it to the libraries listed below

• nerdslab / PyHiWA
  Alignment between clustered datasets via hierarchical Wasserstein distance
  ☆38Updated last year
• nerdslab / latentOT
  Latent optimal transport (LOT) for low rank transport and clustering
  ☆19Updated 3 years ago
• nerdslab / myow
  PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
  ☆31Updated 3 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆28Updated 5 years ago
• tolgabirdal / PHDimGeneralization
  Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
  ☆31Updated last month
• hichamjanati / spatio-temporal-alignements
  Spatio-temporal alignements: Optimal transport in space and time
  ☆46Updated 3 weeks ago
• thomassutter / mmjsd
  Multimodal Generative Learning Utilizing Jensen-Shannon-Divergence
  ☆18Updated 2 years ago
• Jiacheng-Zhu-AIML / WGPOT
  The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
  ☆52Updated 4 years ago
• csyanbin / LSMI-Sinkhorn
  Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"
  ☆16Updated 3 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆68Updated 5 years ago
• rciszek / mdr_tcca
  Multi-view dimensionality reduction using tensor canonical correlation analysis
  ☆10Updated 6 years ago
• zhigao2017 / Learning-to-optimize-on-SPD-manifolds
  code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"
  ☆13Updated 4 years ago
• akekic / causal-component-analysis
  ☆25Updated last year
• fedelopez77 / gyrospd
  GyroSPD: Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices
  ☆18Updated 3 years ago
• meyerscetbon / LOT
  ☆17Updated 2 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• edchengg / VCCA-StudyNotes
  Canonical Correlation Analysis, Variational CCA
  ☆24Updated 6 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 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
• nerdslab / SwapVAE
  PyTorch implementation of Swap-VAE: A self-supervised approach for generating neural activity
  ☆13Updated 3 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆26Updated 2 years ago
• hichamjanati / mutar
  Multi-task regression in Python
  ☆25Updated 4 years ago
• scrambledpie / GPVAE
  Train and visualise a latent variable model of moving objects.
  ☆15Updated 5 years ago
• wecarsoniv / beta-divergence-metrics
  PyTorch implementations of the beta divergence loss.
  ☆10Updated 3 years ago
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆63Updated 2 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆27Updated 5 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆23Updated 2 years ago
• vgsatorras / hybrid-inference
  ☆22Updated 5 years ago
• HongtengXu / gwl
  Gromov-Wasserstein Learning for Graph Matching and Node Embedding
  ☆72Updated 5 years ago