mojingmiao Goto Github PK
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:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
PyTorch Implementation for Deep Metric Learning Pipelines
algorithm for nmf
Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream
It is used to denoised hyperspectral image by using total variation and tikhonov regularization
code of Hyperspectral Image Restoration via Total Variation Regularized Low-rank Tensor Decomposition
Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版,算法实现。
Matrix Iteratively Reweighted Least Squares for low-rank matrix completion and estimation
low rank matrix recovery by minimizing matrix norm
Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos
LRSpNM is a novel matrix completion method, which utilizes Schatten-p norm minimization model combined with Laplacian regularization terms to improve prediction performance in the new drug/target cases. The code in this package implements LRSpNM for drug-target interaction prediction, which is implemented in Matlab2016a.
notes of machine learning algorithm derivation
My blogs and code for machine learning. http://cnblogs.com/pinard
《统计学习方法》相关的机器学习实现代码。Machine Learning.
流形学习算法ISOMAP与LLE的matlab代码
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising, ICCV 2017.
Implementing the MSS method in the paper "A Unified Convex Surrogate for the Schatten-p Norm. Chen Xu, Zhouchen Lin, Hongbin Zha. AAAI 2017"
MATLAB library for non-negative matrix factorization (NMF): Version 1.8.0
Resources for Python Crash Course, from No Starch Press.
This project aims to realize the robust tensor completion algorithms via tensor ring decomposition.
code of top published work
matlab code for convex optimization based tensor decomposition (completion/denoising)
code of Tensor Factorization with Total Variation and Tikhonov Regularization for Low-Rank Tensor Completion in Imaging Data
A collection of tensor completion algorithms
Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605.05775
Tensor ring low-rank factors (AAAI 2019)
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.