Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Wasserstein Auto-Encoders
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Approximating Wasserstein distances with PyTorch
PyTorch implementation of Wasserstein Auto-Encoders
Conditional Wasserstein GANs
Pytorch implementation of Wasserstein GANs with Gradient Penalty
MMCV for Normalized Wasserstein Distance
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.
TensorFlow 2.0 implementation of Improved Training of Wasserstein GANs
Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"
Keras implementation of Wasserstein GAN. Modified from the ACGAN example.
A matlab toolbox to perform Wasserstein Dictionary Learning or NMF
Pytorch implementation of Improved Training of Wasserstein GANs or WGAN-GP (Wasserstein GAN with Gradient Penalty) using DCGAN architecture for generating 64x64 images.
Implementation of our paper "Wasserstein Adversarial Transformer for Cloud Workload Prediction"
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching
Keras model and tensorflow optimization of 'improved Training of Wasserstein GANs'