Some code to Get the Optimal relative Transport started. This will be slowly updated if needed.
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Updated
Jun 4, 2023 - Julia
Some code to Get the Optimal relative Transport started. This will be slowly updated if needed.
Implementation of some types of GANs (Deep convolutional GAN - Wasserstein GAN - conditional GAN) with PyTorch library
Project to get attention from discriminator: 1st combination
Bisimulation Critic for Reinforcement Learning
My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty
Code for the paper: Wasserstein enabled Bayesian optimization of composite functions.
This repository contains some code for demonstrating the application of Wasserstein GANs (WGANs)
Added Gradient penalty and feedback to the Generator from Discriminator
Library of Semi-Relaxed Optimal Transport
Wasserstein-1 Estimation using Kantorovich-Rubinstein Duality
Earth mover's distance with Python.
Keras-based Implementation for "SARS-CoV-2 Detection: Radiology based Multi-modal Multi-task Framework" (Accepted in 45th IEEE EMBC 2k23)
Optimization of Stochastic Differential Equation Solver for Particle Data Set Generation using Fast Point Cloud Diffusion (FPCD) model.
Code of numerical experiments in Master's thesis [TBD]
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
This repository contains the code for some blog posts on the Wasserstein metric. For further details, please refer to the corresponding posts.
Sparse simplex projection-based Wasserstein k-means
A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
Investigating the Capability of Generative Adversarial Networks in Capturing Implicit Laws in Physical Systems - Master thesis 2023
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