thibsej / unbalanced_gromov_wasserstein
Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
☆44Updated 2 years ago
Alternatives and similar repositories for unbalanced_gromov_wasserstein:
Users that are interested in unbalanced_gromov_wasserstein are comparing it to the libraries listed below
- Code for Sliced Gromov-Wasserstein☆67Updated 5 years ago
- Statistics on the space of asymmetric networks via Gromov-Wasserstein distance☆13Updated 4 years ago
- Learning Generative Models across Incomparable Spaces (ICML 2019)☆27Updated 5 years ago
- Code for "Learning with minibatch Wasserstein: asymptotic and gradient properties".☆13Updated 3 years ago
- Learning Autoencoders with Relational Regularization☆46Updated 4 years ago
- It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. I…☆28Updated 2 years ago
- Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"☆28Updated 5 years ago
- Code for Optimal Transport for structured data with application on graphs☆98Updated 2 years ago
- CO-Optimal Transport☆42Updated 4 years ago
- Proximal Optimal Transport Modeling of Population Dynamics (AISTATS 2022)☆17Updated last year
- Contains the code relative to the paper Partial Gromov-Wasserstein with Applications on Positive-Unlabeled Learning https://arxiv.org/abs…☆21Updated 5 years ago
- Tensorflow implementation for the SVGP-VAE model.☆22Updated 3 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
- Scalable framework for comparing metric measure spaces with up to 1M points.☆14Updated 3 years ago
- GP Sinkhorn Implementation, paper: https://www.mdpi.com/1099-4300/23/9/1134☆22Updated 2 years ago
- The implementation code for our paper Wasserstein Embedding for Graph Learning (ICLR 2021).☆34Updated 4 years ago
- ☆38Updated 4 years ago
- Graph matching and clustering by comparing heat kernels via optimal transport.☆26Updated 2 years ago
- VAEs and nonlinear ICA: a unifying framework☆34Updated 4 years ago
- Code for the paper "Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN)" (2020)☆32Updated 3 years ago
- ☆12Updated 8 months ago
- A new mini-batch framework for optimal transport in deep generative models, deep domain adaptation, approximate Bayesian computation, col…☆37Updated 2 years ago
- ☆17Updated 2 years ago
- ☆17Updated last year
- Supervised Training of Conditional Monge Maps☆16Updated last year
- Official Python3 implementation of our ICML 2021 paper "Unbalanced minibatch Optimal Transport; applications to Domain Adaptation"☆46Updated 2 years ago
- ☆24Updated last year
- Gaussian Process Prior Variational Autoencoder☆83Updated 6 years ago
- Gromov-Wasserstein Learning for Graph Matching and Node Embedding☆72Updated 5 years ago