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
My version of cWGAN-gp. Simply my cDCGAN-based but using the Wasserstein Loss and gradient penalty.
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.
PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression
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)
Thesis for bachelor's degree in mathematical engineering @ PoliMi, tackling the problem of clustering probability measures in the Wasserstein space
Project to get attention from discriminator: 1st combination
Bisimulation Critic for Reinforcement Learning
Added Gradient penalty and feedback to the Generator from Discriminator
Library of Semi-Relaxed Optimal Transport
Wasserstein-1 Estimation using Kantorovich-Rubinstein Duality
Interpretable cross-lingual document ranking using a multilingual language model and regularized Earth Mover's Distance
This repository has code for the paper Bayesian prior impact assessment for dynamical systems described by ordinary differential equations
Code of numerical experiments in Master's thesis [TBD]
A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
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