Alternatives and similar repositories for latentOT

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

• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆45Updated 2 years ago
• nerdslab / PyHiWA
  Alignment between clustered datasets via hierarchical Wasserstein distance
  ☆38Updated last year
• trneedham / QuantizedGromovWasserstein
  Scalable framework for comparing metric measure spaces with up to 1M points.
  ☆14Updated 4 years ago
• PythonOT / COOT
  CO-Optimal Transport
  ☆42Updated 4 years ago
• trneedham / Spectral-Gromov-Wasserstein
  Graph matching and clustering by comparing heat kernels via optimal transport.
  ☆27Updated 2 years ago
• siplab-gt / hiwa-matlab
  Hierarchical Wasserstein Alignment
  ☆9Updated 5 years ago
• navid-naderi / WEGL
  The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).
  ☆35Updated 4 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆68Updated 5 years ago
• BorisMuzellec / MissingDataOT
  A Pytorch implementation of missing data imputation using optimal transport.
  ☆102Updated 4 years ago
• ratschlab / SVGP-VAE
  Tensorflow implementation for the SVGP-VAE model.
  ☆22Updated 4 years ago
• khainb / Mini-batch-OT
  A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…
  ☆37Updated 2 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• mfbalin / Concrete-Autoencoders
  ☆118Updated 3 years ago
• gwgundersen / dpcca
  Code for the paper "End-to-end training of deep probabilistic CCA on paired biomedical observations".
  ☆26Updated 4 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆57Updated 6 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆60Updated 3 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 4 years ago
• nerdslab / myow
  PyTorch Implementation - Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction
  ☆31Updated 3 years ago
• meyerscetbon / LOT
  ☆17Updated 3 years ago
• atuannguyen / DIRT
  ☆10Updated 3 years ago
• felipeangelimvieira / SharedNearestNeighbors
  A Shared Nearest Neighbors clustering implementation. This code is basically a wrapper of sklearn DBSCAN, implementing the neighborhood s…
  ☆14Updated 3 years ago
• abidlabs / contrastive_vae
  Contrastive Variational Autoencoders
  ☆69Updated 6 years ago
• IBM / wasserstein-barycenters
  Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…
  ☆22Updated 5 years ago
• a-norcliffe / Composite-Feature-Selection
  Official Code for the paper: "Composite Feature Selection using Deep Ensembles"
  ☆22Updated 2 years ago
• gemoran / sparse-vae-code
  ☆32Updated 2 years ago
• divamgupta / deep-clustering-kingdra
  Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning
  ☆47Updated 4 years ago
• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆29Updated 6 years ago
• danielgreenfeld3 / XIC
  Robust Learning with the Hilbert-Schmidt Independence Criterion
  ☆47Updated 5 years ago
• rpatrik96 / ima-vae
  This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivale…
  ☆23Updated last year
• aniruddhraghu / meta-pretraining
  Code accompanying paper: Meta-Learning to Improve Pre-Training
  ☆37Updated 3 years ago