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Name: He Liu
Type: User
Company: Southwest Jiaotong University
Location: Jiulidi Campus, Southwest Jiaotong University, No. 111, North 1st Section of Second Ring Road, Jinniu District, Chengdu City, Sichuan Province, PRC
Name: He Liu
Type: User
Company: Southwest Jiaotong University
Location: Jiulidi Campus, Southwest Jiaotong University, No. 111, North 1st Section of Second Ring Road, Jinniu District, Chengdu City, Sichuan Province, PRC
This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out
Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.
Paper list and datasets for industrial image anomaly/defect detection (updating). 工业异常/瑕疵检测论文及数据集检索库(持续更新)。
This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitive impacts signal in noisy vibration.
Code accompanying the paper M. Sorel, F. Sroubek, "Fast convolutional sparse coding using matrix inversion lemma", Digital Signal Processing, vol. 55, pp.44-51, 2016
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
A PyTorch implementation of the Deep SVDD anomaly detection method
Matlab code for learning doubly sparse dictionary on synthetic data. Details can be found in the paper "A Provable Approach for Double-Sparse Coding".
a fast convolutional sparse dictionary learning algorithm, It can be applied to long one-dimensional signal processing. It doesn't need to divide long data into small segments to speed up the algorithm. It has low memory consumption and high computational efficiency.
《李宏毅深度学习教程》(李宏毅老师推荐👍),PDF下载地址:https://github.com/datawhalechina/leedl-tutorial/releases
An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障诊断和预测数据集,不断更新中)
MathGeo: A toolbox for seismic data processing
The Matlab code of blind deconvolution based on criterion defined by envelope spectrum
2D Digital Image Correlation Matlab Software
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
My PyTorch implementation of Deep SVDD for Anomaly Detection
Sparse Filtering with Single Layer and Single Node
Sparse Filtering
Python code for abnormal detection using Support Vector Data Description (SVDD)
[AAAI-2024] Offical code for <Unsupervised Continual Anomaly Detection with Contrastively-learned Prompt>.
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.