”wasserstein-barycenter“ 的搜索结果

Efficient Wasserstein Barycenter in MATLAB (for "Fast Discrete Distribution Clustering Using Wasserstein Barycenter with Sparse Support" TSP)

Code for our ICLR19 paper "Wasserstein Barycenters for Model Ensembling", Pierre Dognin, Igor Melnyk, Youssef Mroueh, Jarret Ross, Cicero Dos Santos, Tom Sercu

This repo contains the implementation of the Wasserstein Barycenter Transport proposed in "Wasserstein Barycenter Transport for Acoustic Adaptation" at ICASSP21 and "Wasserstein Barycenter for Multi-S...

Learning Graphons via Structured Gromov-Wasserstein Barycenters

PyTorch implementation of the paper "Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization" (ICLR 2021)

Implementation of the paper 'Stochastic Wasserstein Barycenters'

Scalable Bayes via Barycenter in Wasserstein Space

https://arxiv.org/abs/2007.04462

Fast discrete distributions clustering using Wasserstein barycenter with sparse support

Wasserstein Auto-Encoders

Conditional Wasserstein GANs

Approximating Wasserstein distances with PyTorch

PyTorch implementation of Wasserstein Auto-Encoders

Wasserstein DCGAN in Tensorflow/Keras

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Pytorch implementation of Wasserstein GANs with Gradient Penalty

MMCV for Normalized Wasserstein Distance

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

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

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'