A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
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Updated
Jul 15, 2016 - MATLAB
A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
A thorough review of the paper "Learning Embeddings into Entropic Wasserstein Spaces" by Frogner et al. Includes a reproduction of the results on word embeddings.
Lots of evaluation metrics for the generative adversarial networks in pytorch
Neural Network Time Signal Detection with Wasserstein Loss
1D Wasserstein Statistical Loss in Pytorch
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
Added Gradient penalty and feedback to the Generator from Discriminator
WGAN with feedback from discriminator& LayerNorm instead of BatchNorm
Project to get attention from discriminator: 1st combination
Unsupervised Domain Adaptation for Acoustic Scene Classification with Wasserstein Distance
A python module for fast calculation of the wasserstein distance on tree metrics implemented in C++.
Header only C++ implementation of the Wasserstein distance (or earth mover's distance)
Employing Optimal Transport metrics for Point Cloud Registration
Earth mover's distance with Python.
Functional Optimal Transport: Map Estimation and Domain Adaptation for Functional data
Sparse simplex projection-based Wasserstein k-means
Pytorch Implementation for Topic Modeling with Wasserstein Autoencoders
Topological Learning for Brain Networks (Annals of Applied Statistics; MICCAI 2021)
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