#计算机科学#POT : Python Optimal Transport
翻译 - POT:Python最佳传输
Solving Wasserstein Discriminant Analysis (WDA) by nonlinear vector-dependent eigenvalue problem (nepv) algorithm
Source code for the ICML2019 paper "Subspace Robust Wasserstein Distances"
Code for NeurIPS 2019 paper "Screening Sinkhorn Algorithm for Regularized Optimal Transport"
Local Fisher Discriminant Analysis in R
Linear Discriminant Analysis based on Matlab
Wasserstein Auto-Encoders
Face recognition written in MATLAB. This code implements Fisher's Discriminant Analysis and SVMs using LIBSVM.
Conditional Wasserstein GANs
Approximating Wasserstein distances with PyTorch
A custom toolkit to implement partial least squares regression (PLSR) and discriminant analysis (PLSDA) in MATLAB.
PyTorch implementation of Wasserstein Auto-Encoders
DCFNet: Discriminant Correlation Filters Network for Visual Tracking
DCFNet: Discriminant Correlation Filters Network for Visual Tracking
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
Pytorch implementation of Wasserstein GANs with Gradient Penalty
A simple example for LDA algorithm,Code on Matlab
MMCV for Normalized Wasserstein Distance
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.