nothing2wang Goto Github PK
Name: Qingsong Wang
Type: User
Company: Xiangtan University
Bio: 平安喜乐,得偿所愿!
Location: Xiangtan
Blog: https://scholar.google.com/citations?hl=zh-CN&user=GYqLbloAAAAJ
Name: Qingsong Wang
Type: User
Company: Xiangtan University
Bio: 平安喜乐,得偿所愿!
Location: Xiangtan
Blog: https://scholar.google.com/citations?hl=zh-CN&user=GYqLbloAAAAJ
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Awesome papers on 3D anomaly detection.
A curated list of awesome anomaly detection resources
Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"
demo for "A Bregman stochastic method for nonconvex nonsmooth problem beyond global Lipschitz gradient continuity"
demo for " A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems“
Matrix/Tensor factorization with Bregman proximal (stochastic) gradient
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
Python versions of all typeset code blocks from the book, Algorithms for Decision Making.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Demo for ``Accelerated Doubly Stochastic Gradient Descent for Tensor CP Decomposition''
Fedstellar: A Platform for Decentralized Federated Learning
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
An Open-Source Hyperspectral Unmixing Python Package
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
Manopt, a Matlab toolbox for optimization on manifolds
Сode for our paper MARS: Masked Automatic Ranks Selection in Tensor Decompositions
Demo for ``A Generalized Inertial Proximal Alternating Linearized Minimization Method for Nonconvex Nonsmooth Problems''
Alternating Bregman Algorithms for ReLU-based Regularized Matrix Factorization
demo for "A Momentum Accelerated Algorithm for ReLU-based Nonlinear Matrix Decomposition"
https://nothing2wang.github.io
Online Matrix/Tensor Factorization and applications to Network Dictionary Learning and images
Web site of the Computational Optimal Transport book
"Probabilistic Machine Learning" - a book series by Kevin Murphy
Matlab code of machine learning algorithms in book PRML
Python toolbox for optimization on Riemannian manifolds with support for automatic differentiation
Bunch of optimizer implementations in PyTorch
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.