icemiliang / pyvotLinks
A Python implementation of Monge optimal transportation
☆49Updated last year
Alternatives and similar repositories for pyvot
Users that are interested in pyvot are comparing it to the libraries listed below
Sorting:
- Python implementation of smooth optimal transport.☆59Updated 4 years ago
- Code for Sliced Gromov-Wasserstein☆68Updated 5 years ago
- MMD, Hausdorff and Sinkhorn divergences scaled up to 1,000,000 samples.☆56Updated 6 years ago
- Stochastic algorithms for computing Regularized Optimal Transport☆57Updated 6 years ago
- L. Chizat, G. Peyré, B. Schmitzer, F-X. Vialard. Scaling Algorithms for Unbalanced Transport Problems. Preprint Arxiv:1607.05816, 2016.☆42Updated 8 years ago
- [ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).☆56Updated 3 years ago
- Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.☆73Updated 8 years ago
- Sliced Wasserstein Distance for Learning Gaussian Mixture Models☆63Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆29Updated 6 years ago
- Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport☆45Updated 2 years ago
- Learning the optimal transport map via input convex neural neworks☆41Updated 5 years ago
- Learning generative models with Sinkhorn Loss☆29Updated 6 years ago
- Keras implementation of Deep Wasserstein Embeddings☆48Updated 7 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
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Code for http://proceedings.mlr.press/v80/dvurechensky18a.html☆16Updated 6 years ago
- ☆54Updated 11 months ago
- Sinkhorn Barycenters via Frank-Wolfe algorithm☆26Updated 5 years ago
- ☆24Updated 3 years ago
- Code for NIPS 2017 spotlight paper: "Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration" by Jason Alt…☆31Updated 7 years ago
- python implementation of Sinkhorn-Knopp☆33Updated 7 years ago
- Spatio-temporal alignements: Optimal transport in space and time☆47Updated 2 months ago
- ☆38Updated 5 years ago
- MATLAB implementation of linear support vector classification in hyperbolic space☆20Updated 7 years ago
- Practical sessions for the Optimal Transport and Machine learning course at DS3 2018☆90Updated 7 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- Gaussian Process Prior Variational Autoencoder☆84Updated 6 years ago
- A Pytorch implementation of the optimal transport kernel embedding☆117Updated 4 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago