meyerscetbon / LinearSinkhornLinks
☆16Updated 5 years ago
Alternatives and similar repositories for LinearSinkhorn
Users that are interested in LinearSinkhorn are comparing it to the libraries listed below
Sorting:
- implements optimal transport algorithms in pytorch☆102Updated 3 years ago
- ICLR 2021, Fair Mixup: Fairness via Interpolation☆59Updated 4 years ago
- [ICLR'21] Counterfactual Generative Networks☆107Updated 4 years ago
- Gradients as Features for Deep Representation Learning☆43Updated 5 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆27Updated 5 years ago
- NeurIPS 2021, Code for Measuring Generalization with Optimal Transport☆28Updated 4 years ago
- Implementation of Inexact Proximal point method for Optimal Transport☆50Updated 4 years ago
- Official adversarial mixup resynthesis repository☆35Updated 5 years ago
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆101Updated 5 years ago
- Pytorch implementation of regularization methods for deep networks obtained via kernel methods.☆23Updated 6 years ago
- Fair Generative Modeling via Weak Supervision☆21Updated 3 years ago
- ☆21Updated 3 years ago
- ☆66Updated 6 years ago
- Example implementation for the paper: (ICLR Oral) Learning Robust Representations by Projecting Superficial Statistics Out☆27Updated 4 years ago
- ☆63Updated 5 years ago
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆20Updated 5 years ago
- Tensorflow implementation of "Meta Dropout: Learning to Perturb Latent Features for Generalization" (ICLR 2020)☆27Updated 5 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆27Updated 6 years ago
- PyTorch implementation for the ICLR 2020 paper "Understanding the Limitations of Variational Mutual Information Estimators"☆77Updated 5 years ago
- ☆24Updated 4 years ago
- This repository hosts the dataset and source code for "A causal view of compositional zero-shot recognition". Yuval Atzmon, Felix Kreuk, …☆27Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Updated 7 years ago
- Official implementation of paper Gradient Matching for Domain Generalization☆123Updated 4 years ago
- Out-of-distribution Detection via Generation - NeurIPS 2019☆18Updated 6 years ago
- ☆31Updated 5 years ago
- ☆12Updated 6 years ago
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated 2 years ago
- MoCo with Alignment and Uniformity Loss.☆63Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Updated 7 years ago