Implementation of the Sliced Wasserstein Autoencoders
☆92Jun 6, 2018Updated 7 years ago
Alternatives and similar repositories for swae
Users that are interested in swae are comparing it to the libraries listed below
Sorting:
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆101Sep 24, 2018Updated 7 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆66Apr 24, 2023Updated 2 years ago
- Wasserstein Auto-Encoders☆507Jun 28, 2018Updated 7 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Apr 15, 2018Updated 7 years ago
- tensorflow implementation of the Wasserstein (aka optimal transport) distance☆74Mar 23, 2021Updated 4 years ago
- Optimal transport transforms☆23Jul 10, 2018Updated 7 years ago
- Pytorch implementation of Wasserstein Auto-Encoders☆25Feb 7, 2018Updated 8 years ago
- ☆10Jun 22, 2022Updated 3 years ago
- Sliced Wasserstein Generator☆39Apr 2, 2018Updated 7 years ago
- Sliced Wasserstein Generator☆22Oct 30, 2018Updated 7 years ago
- PyTorch implementation of Wasserstein Auto-Encoders☆298Aug 7, 2020Updated 5 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆35Jan 22, 2021Updated 5 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Apr 9, 2021Updated 4 years ago
- ☆12Dec 20, 2019Updated 6 years ago
- Code for "Fast Unbalanced Optimal Transport on a Tree" (NeurIPS 2020)☆13Oct 22, 2020Updated 5 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆58Aug 16, 2018Updated 7 years ago
- unsupervised video and image generation☆57Jul 23, 2020Updated 5 years ago
- Implementation of DeepJDOT in Keras☆63Jul 16, 2019Updated 6 years ago
- A brief tutorial on the Wasserstein auto-encoder☆86Dec 13, 2018Updated 7 years ago
- Cumulative Distribution Transform☆16Sep 28, 2017Updated 8 years ago
- Jax-based MaxEnt☆17Nov 24, 2019Updated 6 years ago
- This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoe…☆208Apr 13, 2018Updated 7 years ago
- ☆32Aug 1, 2018Updated 7 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆20Aug 21, 2018Updated 7 years ago
- ☆16Sep 26, 2017Updated 8 years ago
- Transfer Learning☆10Aug 3, 2018Updated 7 years ago
- Multi-Domain Image-to-Image Translation using StarGAN with Max Sliced Wasserstein Distance.☆14May 17, 2019Updated 6 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆57Jul 25, 2024Updated last year
- A Python Multiple kernel learning library.☆57Mar 5, 2019Updated 6 years ago
- A Wasserstein Subsequence Kernel for Time Series.☆21Jun 17, 2024Updated last year
- Geometric loss functions between point clouds, images and volumes☆684Apr 14, 2025Updated 10 months ago
- Gromov-Wasserstein Alignment of Embeddings☆68Sep 23, 2021Updated 4 years ago
- Beta-VAE implementations in both PyTorch and Tensorflow☆22Jul 26, 2018Updated 7 years ago
- ☆88Jul 25, 2024Updated last year
- Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero…☆23Nov 18, 2019Updated 6 years ago
- Radon Cumulative Distribution Transform☆25Jan 19, 2021Updated 5 years ago
- Style Transfer as Optimal Transport☆298Aug 14, 2018Updated 7 years ago
- Code for Sliced Gromov-Wasserstein☆69Dec 2, 2019Updated 6 years ago
- Official PyTorch implementation of Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation (ICLR 2019)☆94Jul 25, 2024Updated last year