ChongYou / robust-image-recovery

Related projects: ⓘ

• francoispierrepaty / SubspaceRobustWasserstein
  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
  ☆27Updated 5 years ago
• mzalaya / screenkhorn
  Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"
  ☆10Updated 4 years ago
• vivienseguy / Large-Scale-OT
  Stochastic algorithms for computing Regularized Optimal Transport
  ☆55Updated 6 years ago
• iamalexkorotin / Wasserstein2Barycenters
  PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)
  ☆21Updated 2 years ago
• meyerscetbon / LOT
  ☆15Updated 2 years ago
• zalanborsos / coresets
  Coresets
  ☆38Updated 2 years ago
• GiulsLu / Sinkhorn-Barycenters
  Sinkhorn Barycenters via Frank-Wolfe algorithm
  ☆24Updated 4 years ago
• hichamjanati / debiased-ot-barycenters
  ☆23Updated 3 years ago
• tvayer / SGW
  Code for Sliced Gromov-Wasserstein
  ☆65Updated 4 years ago
• tolgabirdal / PHDimGeneralization
  Official implementation of "Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks", NeurIPS 2021.
  ☆29Updated 2 years ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆24Updated 2 years ago
• xieyujia / IPOT
  Implementation of Inexact Proximal point method for Optimal Transport
  ☆45Updated 3 years ago
• IBM / wasserstein-barycenters
  Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…
  ☆20Updated 4 years ago
• Landmine598 / OT-DA
  ☆13Updated 4 years ago
• ae-foster / invclr
  Improving Transformation Invariance in Contrastive Representation Learning
  ☆13Updated 3 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆44Updated 3 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆43Updated last year
• yaohungt / Pointwise_Dependency_Neural_Estimation
  ☆19Updated 4 years ago
• kimiandj / gsw
  ☆39Updated 4 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆33Updated last month
• csyanbin / LSMI-Sinkhorn
  Code for ECML/PKDD paper: "LSMI-Sinkhorn: Semi-supervised Mutual Information Estimation with Optimal Transport"
  ☆15Updated 3 years ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 2 years ago
• gwgundersen / rflvm
  Random feature latent variable models in Python
  ☆21Updated last year
• 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…
  ☆20Updated 4 years ago
• fairkmeans / Fair-K-Means-Clustering
  Code of the paper Fair k-Means Clustering
  ☆13Updated 2 years ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆13Updated 3 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆19Updated 3 years ago
• bunnech / gwgan
  Learning Generative Models across Incomparable Spaces (ICML 2019)
  ☆26Updated 4 years ago
• UW-Madison-Lee-Lab / score-wasserstein
  Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.
  ☆16Updated last year
• hichamjanati / Entropic-OT-gaussians
  Closed form Entropic OT for balanced and unbalanced Gaussians
  ☆17Updated 2 years ago