wasserstein
There are 37 repositories under wasserstein topic.
PythonOT/POT
POT : Python Optimal Transport
shayneobrien/generative-models
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
shekkizh/WassersteinGAN.tensorflow
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
gaohuang/S-WMD
Code for Supervised Word Mover's Distance (SWMD)
JuliaOptimalTransport/OptimalTransport.jl
Optimal transport algorithms for Julia
tensorfreitas/DCGAN-for-Bird-Generation
DCGAN and WGAN implementation on Keras for Bird Generation
kjunelee/WINN
Wasserstein Introspective Neural Networks (CVPR 2018 Oral)
fonfonx/WassersteinGAN.torch
Torch implementation of Wasserstein GAN https://arxiv.org/abs/1701.07875
icemiliang/pyvot
A Python implementation of Monge optimal transportation
Jiacheng-Zhu-AIML/WGPOT
The Wasserstein Distance and Optimal Transport Map of Gaussian Processes
stephenhky/PyWMD
Word Mover's Distance (WMD) in Python
sparks-baird/mat_discover
A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.
fwilliams/fml
FML (Francis' Machine-Learnin' Library) - A collection of utilities for machine learning tasks
HareeshBahuleyan/probabilistic_nlg
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
adler-j/wasserstein_inverse_problems
Code for the article "Learning to solve inverse problems using Wasserstein loss"
francoispierrepaty/SubspaceRobustWasserstein
Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
germain-hug/GANs-Keras
GANs Implementations in Keras
bobye/acl2017_document_clustering
code for "Determining Gains Acquired from Word Embedding Quantitatively Using Discrete Distribution Clustering" ACL 2017
RahulBhalley/turing-gan
Source code for "Training Generative Adversarial Networks Via Turing Test".
dmivilensky/Wasserstein-distance-calculation
Optimal Transport and Optimization related experiments.
hiroyuki-kasai/SSPW-kmeans
Sparse simplex projection-based Wasserstein k-means
CSDUlm/wsingular
Python package for the ICML 2022 paper "Unsupervised Ground Metric Learning Using Wasserstein Singular Vectors".
ymgw55/WSMD
Improving word mover’s distance by leveraging self-attention matrix
stegua/dotlib
Dot Lib
icemiliang/vot
Variational Optimal Transportation
jinmang2/W-LDA
Pytorch Implementation for Topic Modeling with Wasserstein Autoencoders
JuliaOptimalTransport/PythonOT.jl
Julia interface for the Python Optimal Transport (POT) library
YeongHyeon/WGAN-TF
TensorFlow implementation of Wasserstein GAN (WGAN) with MNIST dataset.
Horrible22232/Generative-Adversarial-Network
Generating Atari Images with WGANs in PyTorch
ucalyptus/Cloud-Movers-Distance
Employing Optimal Transport metrics for Point Cloud Registration
yukiTakezawa/FS_TSWB
Code for "Fixed Support Tree-Sliced Wasserstein Barycenter"
Daphilippe/brain_connectivity
Optimal transport for comparing short brain connectivity between individuals | Optimal transport | Wasserstein distance | Barycenter | K-medoids | Isomap| Sulcus | Brain
dingran/wae-mxnet
MXNet/Gluon implementation of Wasserstein Auto-Encoders (WAE)
krisht/WassersteinGAN
Demonstration of Wasserstein GAN. Using Earth Mover's distance to measure similarity between two distributions
Piyushi-0/MMD-reg-OT
Code for our TMLR '24 Journal: MMD-Regularized UOT.
alexspagn/Beyond-GOTEX-Using-multiple-feature-detectors-for-better-texture-synthesis
Implementation and results from "Beyond GOTEX: Using Multiple Feature Detectors for Better Texture Synthesis"