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Quick and dirty implementation of WGAN in pytorch derived from the pytorch implementation of cycleGAN with the Wasserstein Loss. Implements in pytorch both cycle GAN with clipping or differential p…
It is a repo which allows to compute all divergences derived from the theory of entropically regularized, unbalanced optimal transport. It relies on a pytorch backend.
Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport
Implementation of the survey propagation
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