audeg / Sinkhorn-GANLinks
Learning generative models with Sinkhorn Loss
☆30Updated 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
Sorting:
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Python implementation of smooth optimal transport.☆59Updated 4 years ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- ☆29Updated 3 years ago
- ☆41Updated 5 years ago
- Code for "Variational Autoencoder with Learned Latent Structure"☆34Updated 4 years ago
- Learning the optimal transport map via input convex neural neworks☆42Updated 5 years ago
- ☆54Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆68Updated 4 years ago
- This is the source code for Learning Deep Kernels for Non-Parametric Two-Sample Tests (ICML2020).☆50Updated 4 years ago
- ICML 2020 Paper: Latent Variable Modelling with Hyperbolic Normalizing Flows☆54Updated 2 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆56Updated last year
- A Python implementation of Monge optimal transportation☆49Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆55Updated 2 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- ☆30Updated 4 years ago
- ☆38Updated 5 years ago
- A brief tutorial on the Wasserstein auto-encoder☆83Updated 6 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- Robust Optimal Transport code☆43Updated 2 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- Implementation of "Learning latent subspaces in variational autoencoders"☆20Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago