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2015-siims-wasserstein-dual

M. Cuturi, G. Peyré. A Smoothed Dual Approach for Variational Wasserstein Problems. SIAM Journal on Imaging Sciences, 9(1), pp. 320–343, 2016.

andrewngmachinelearning

awesome-machine-learning-1

Learning Resources And Links Of Machine Learning（updating）

basicsr

Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

bm3d_cpp2py

pure python implement of BM3D

book-1

computationalotsummerschool

Practical sessions of INRIA Paris' Summer School 'A Numerical Introduction to Optimal Transport' - May 2019

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deeplearningbook-chinese

Deep Learning Book Chinese Translation

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

dncnn

implementation of "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising

dncnn-1

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dncnn-tensorflow

:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

ffdnet

FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)

gdlibrary

Matlab library for gradient descent algorithms: Version 1.0.1

image-denoising-state-of-the-art

mathematical-python

Introduction to Mathematical Computing with Python and Jupyter

models

Models and examples built with TensorFlow

mydeepritz

A demo for my DeepRitz method, especially for high contrast problem.

numerical-tours

Numerical Tours of Signal Processing

optimaltransport.github.io

Web site of the Computational Optimal Transport book

ot-gradients

pot

Python Optimal Transport library

segnet

A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

sinkhorn

Replication of this paper: https://papers.nips.cc/paper/4927-sinkhorn-distances-lightspeed-computation-of-optimal-transport.pdf

sinkhornautodiff

Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm

studypath

Provides a computer science learning route

tdv

Total Deep Variation Regularizer

tf-ot-sinkhorn

Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.

understanding-kl-divergence

understanding kl divergence using 1D Gaussians