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M. Cuturi, G. Peyré. A Smoothed Dual Approach for Variational Wasserstein Problems. SIAM Journal on Imaging Sciences, 9(1), pp. 320–343, 2016.
Learning Resources And Links Of Machine Learning(updating)
Open Source Image and Video Restoration Toolbox, especially for Super-Resolution, including EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.
pure python implement of BM3D
Practical sessions of INRIA Paris' Summer School 'A Numerical Introduction to Optimal Transport' - May 2019
吴恩达老师的机器学习课程个人笔记
Deep Learning Book Chinese Translation
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.
implementation of "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
:octocat::octocat:A tensorflow implement of the paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"
FFDNet: Toward a Fast and Flexible Solution for CNN based Image Denoising (TIP, 2018)
Matlab library for gradient descent algorithms: Version 1.0.1
Introduction to Mathematical Computing with Python and Jupyter
Models and examples built with TensorFlow
A demo for my DeepRitz method, especially for high contrast problem.
Numerical Tours of Signal Processing
Web site of the Computational Optimal Transport book
Python Optimal Transport library
A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Replication of this paper: https://papers.nips.cc/paper/4927-sinkhorn-distances-lightspeed-computation-of-optimal-transport.pdf
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
Provides a computer science learning route
Total Deep Variation Regularizer
Tensorflow implementation of optimal transport (OT) with Sinkhorn algorithm.
understanding kl divergence using 1D Gaussians
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.