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.

Some code to Get the Optimal relative Transport started. This will be slowly updated if needed.

Optimization of Stochastic Differential Equation Solver for Particle Data Set Generation using Fast Point Cloud Diffusion (FPCD) model.

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)

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

PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

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

Image to Image translation using conditional GANs with Wasserstein loss and gradient penalty

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