pandadada123

pandadada123's Stars

• justso1/EntropicMetricAlignment

  Entropic Metric Alignment for Correspondence Problems

  Language:Matlab81

• wiseodd/generative-models

  Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

  Language:Python7.3k2k

• eddardd/WBTransport

  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-Source Domain Adaptation" in CVPR21

  Language:Python315

• abdelwahed/OT_for_big_data

  Optimal Transport in the Big Data Era

  935

• mavillan/py-hausdorff

  Fast computation of Hausdorff distance in Python

  Language:Python25134

• francoispierrepaty/SubspaceRobustWasserstein

  Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"

  Language:Jupyter Notebook283

• bunnech/gwgan

  Learning Generative Models across Incomparable Spaces (ICML 2019)

  Language:Python264

• yfeng95/GAN

  Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

  Language:Python2.9k792

• tvayer/SGW

  Code for Sliced Gromov-Wasserstein

  Language:Jupyter Notebook668

• gpeyre/2016-ICML-gromov-wasserstein

  Gabriel Peyré, Marco Cuturi, Justin Solomon, Gromov-Wasserstein Averaging of Kernel and Distance Matrices, Proc. of ICML 2016.

  Language:Matlab7319

• goodfeli/adversarial

  Code and hyperparameters for the paper "Generative Adversarial Networks"

  Language:Python3.9k1.1k

• digicatapult/fornax

  Approximate fuzzy subgraph matching in polynomial time

  Language:Python214

• filippocastelli/KEGGutils

  Utils for working with KEGG data on NetworkX

  Language:Jupyter Notebook76

• tvayer/FGW

  Code for Optimal Transport for structured data with application on graphs

  Language:Python9818