Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
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Updated
Feb 13, 2017 - Python
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Demonstration of Wasserstein GAN. Using Earth Mover's distance to measure similarity between two distributions
Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875
Code for the article "Learning to solve inverse problems using Wasserstein loss"
MXNet/Gluon implementation of Wasserstein Auto-Encoders (WAE)
DCGAN and WGAN implementation on Keras for Bird Generation
Code for Supervised Word Mover's Distance (SWMD)
GANs Implementations in Keras
Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
Optimal Transport and Optimization related experiments.
Wasserstein barycenter research for images
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017
Variational Optimal Transportation
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
Source code for "Training Generative Adversarial Networks Via Turing Test".
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.
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