Alternatives and similar repositories for Mini-batch-OT:

Users that are interested in Mini-batch-OT are comparing it to the libraries listed below

• kilianFatras / JUMBOT
  Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"
  ☆46Updated 2 years ago
• VinAIResearch / DSW
  Distributional Sliced-Wasserstein distance code
  ☆49Updated 9 months ago
• chingyaoc / InfoOT
  [ICML2023] InfoOT: Information Maximizing Optimal Transport
  ☆40Updated 2 years ago
• khainb / EBSW
  Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance
  ☆18Updated 2 months ago
• PythonOT / OTML_course_2022
  ☆10Updated 2 years ago
• Newbeeer / TRM
  Learning Representations that Support Robust Transfer of Predictors
  ☆20Updated 3 years ago
• thibsej / unbalanced_gromov_wasserstein
  Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
  ☆44Updated 2 years ago
• XJTU-XGU / KPG-RL
  Keypoint-Guided Optimal Transport (NeurIPS 2022)
  ☆24Updated last year
• mpagli / Agree-to-Disagree
  Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"
  ☆36Updated 2 years ago
• zengyi-li / NMCE-release
  Code for Neural Manifold Clustering and Embedding
  ☆59Updated 3 years ago
• ryoungj / optdom
  [ICLR'22] Self-supervised learning optimally robust representations for domain shift.
  ☆23Updated 3 years ago
• arobey1 / mbdg
  ☆36Updated 3 years ago
• clbonet / Spherical_Sliced-Wasserstein
  Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"
  ☆13Updated last year
• MinaGhadimiAtigh / hyperbolic_representation_learning
  The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
  ☆63Updated 2 years ago
• LituRout / OptimalTransportModeling
  Generative Modeling with Optimal Transport Maps - ICLR 2022
  ☆59Updated 3 years ago
• RenkunNi / MetaContrastive
  The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".
  ☆19Updated 2 years ago
• yogeshbalaji / robustOT
  Robust Optimal Transport code
  ☆43Updated 2 years ago
• Landmine598 / OT-DA
  ☆14Updated 4 years ago
• MinaGhadimiAtigh / Hyperbolic-Busemann-Learning
  Hyperbolic Busemann Learning with Ideal Prototypes, NeurIPS2021
  ☆24Updated 3 years ago
• ahujak / IB-IRM
  ☆30Updated 3 years ago
• LFhase / PAIR
  [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization
  ☆53Updated last year
• cianeastwood / qrm
  Quantile risk minimization
  ☆24Updated 9 months ago
• kilianFatras / minibatch_Wasserstein
  Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".
  ☆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
• xu-ji / information-bottleneck
  Deep Learning & Information Bottleneck
  ☆60Updated last year
• izmailovpavel / spurious_feature_learning
  ☆45Updated 2 years ago
• JunwenBai / C-GMVAE
  C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification
  ☆49Updated last year
• TsungWeiTsai / MiCE
  Pytorch implementation for ICLR 2021 paper - MiCE: Mixture of Contrastive Experts for Unsupervised Image Clustering
  ☆49Updated 4 years ago
• HongtengXu / Relational-AutoEncoders
  Learning Autoencoders with Relational Regularization
  ☆46Updated 4 years ago
• jhaochenz96 / spectral_contrastive_learning
  ☆20Updated 3 years ago