UT-Austin-Data-Science-Group / Mini-batch-OT
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
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆45Updated 2 years ago
- Distributional Sliced-Wasserstein distance code☆49Updated 6 months ago
- [ICML2023] InfoOT: Information Maximizing Optimal Transport☆41Updated last year
- Implementation of our ICLR2023 paper "Spherical-Sliced Wasserstein"☆13Updated 11 months ago
- Learning Representations that Support Robust Transfer of Predictors☆20Updated 3 years ago
- Keypoint-Guided Optimal Transport (NeurIPS 2022)☆21Updated last year
- Code for Neural Manifold Clustering and Embedding☆57Updated 2 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆43Updated last year
- CO-Optimal Transport☆42Updated 4 years ago
- Repo for the paper: "Agree to Disagree: Diversity through Disagreement for Better Transferability"☆35Updated 2 years ago
- Implementation of the Gumbel-Sigmoid distribution in PyTorch.☆19Updated 2 years ago
- ☆30Updated 3 years ago
- ☆17Updated last year
- Learning Autoencoders with Relational Regularization☆45Updated 4 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
- ☆17Updated last year
- ☆10Updated last year
- ☆10Updated 2 years ago
- Experiments to reproduce results in Interventional Causal Representation Learning.☆25Updated 2 years ago
- Quantile risk minimization☆24Updated 6 months ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 3 years ago
- ☆12Updated last year
- Pytorch implementation of "Entropic Neural Optimal Transport via Diffusion Processes" (NeurIPS 2023, oral).☆35Updated 11 months ago
- Official PyTorch implementation for paper: Energy-Based Sliced Wasserstein Distance☆18Updated 11 months ago
- C-GMVAE: Gaussian Mixture VAE with Contrastive Learning for Multi-Label Classification☆47Updated last year
- Efficient Conditionally Invariant Representation Learning (ICLR 2023, Oral)☆21Updated 2 years ago
- ☆17Updated 2 years ago
- Robust Optimal Transport code☆40Updated 2 years ago
- [NeurIPS 2024] BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models☆23Updated 2 weeks ago