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generate randomly defects on positive samples and restore them with GAN.
UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.
This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders
Apple Defect Detection
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
Reading list for research topics in multimodal machine learning
a baseline for defect segmentation
A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》
CUDA Library Samples
D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
深度学习数学、模型结构和基础应用
Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic and Beyond
Detection of defects in fruits and vegetables using k means segmentation and Otsu thresholding in Matlab. Both external and internal defects are detected. For external defects, the surface of the fruits and vegetables in the image is processed. For internal defects, two approaches are followed. In the first one, the internal images of the fruits are processed for defects, whereas in the second one, the X-ray images of the images are taken and processed for defects.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
这是Eigen 3.4.90官方文档的翻译
MWE for using the Eigen library in CUDA kernels
This is my translation of Chinese document of Eigen
GMTSAR
The objective is to add some noise to the images and then use an Convolutional Autoencoder to denoise them.
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
A simple C++ matrix class with standard operations
Here the Matrix Inversion is done using CuBLAS and then It is multiplied with the given matrix using cuda Matrix Multiplication
I implemented a parallel algorithm for matrix inversion based on Gauss-Jordan elimination.
.NET/C# binding for Baidu paddle inference library and PaddleOCR
This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.
cuda
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.