Popular GitHub Repositories for Gromov Wasserstein

POT : Python Optimal Transport

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

Reimplementation of GANs

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

Pytorch implementation of Wasserstein GANs with Gradient Penalty

Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)

Official code for "A Normalized Gaussian Wasserstein Distance for Tiny Object Detection"

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)

TensorFlow implementation of CipherGAN

Implementation of the Sliced Wasserstein Autoencoder using PyTorch

Implementation of Visual Feature Attribution using Wasserstein GANs (VAGANs, https://arxiv.org/abs/1711.08998) in PyTorch

Keras implementation of "Image Inpainting via Generative Multi-column Convolutional Neural Networks" paper published at NIPS 2018

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

A GAN framework

DCGAN and WGAN implementation on Keras for Bird Generation

Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399

Wasserstein Introspective Neural Networks (CVPR 2018 Oral)