audeg / Sinkhorn-GAN
Learning generative models with Sinkhorn Loss
☆28Updated 6 years ago
Alternatives and similar repositories for Sinkhorn-GAN:
Users that are interested in Sinkhorn-GAN are comparing it to the libraries listed below
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆25Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- ☆24Updated 3 years ago
- ☆30Updated 4 years ago
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- Python implementation of smooth optimal transport.☆58Updated 4 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆52Updated 9 months ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- ☆29Updated 3 years ago
- [AISTATS2020] The official repository of "Invertible Generative Modling using Linear Rational Splines (LRS)".☆20Updated last year
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- ☆39Updated 5 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- ☆53Updated 9 months ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 4 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆53Updated 2 years ago
- Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)☆28Updated 6 years ago
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- ☆20Updated 4 years ago
- Code for the paper "Semi-Conditional Normalizing Flows for Semi-Supervised Learning"☆10Updated 5 years ago
- ☆16Updated 4 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆44Updated 2 years ago
- ☆13Updated 6 years ago
- Code for ICLR 2022 Paper, "Controlling Directions Orthogonal to a Classifier"☆35Updated last year
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆49Updated 3 years ago