khainb / Mini-batch-OTLinks
A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, color transfer, and gradient flow.
☆37Updated 2 years ago
Alternatives and similar repositories for Mini-batch-OT
Users that are interested in Mini-batch-OT are comparing it to the libraries listed below
Sorting:
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 2 years ago
- Distributional Sliced-Wasserstein distance code☆50Updated 10 months ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆40Updated 2 years ago
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆36Updated 2 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆24Updated last year
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Updated 3 months ago
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆13Updated last year
- ☆14Updated 4 years ago
- ☆30Updated 3 years ago
- Pytorch code for "Improving Self-Supervised Learning by Characterizing Idealized Representations"☆41Updated 2 years ago
- The official code for the publication: "The Close Relationship Between Contrastive Learning and Meta-Learning".☆19Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆24Updated 2 years ago
- Deep Learning & Information Bottleneck☆60Updated last year
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- ☆17Updated 2 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆122Updated 3 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆28Updated 2 years ago
- ☆10Updated 3 months ago
- [ICLR 2023, ICLR DG oral] PAIR, the optimizer and model selection criteria for OOD Generalization☆53Updated last year
- Code for Neural Manifold Clustering and Embedding☆59Updated 3 years ago
- This repository is the official implementation of Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regulari…☆21Updated 2 years ago
- Energy-Based Models for Continual Learning Official Repository (PyTorch)☆42Updated 2 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- ☆10Updated 2 years ago
- ☆22Updated 3 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago