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a_surface_defect_detection_based_on_positive_samples

generate randomly defects on positive samples and restore them with GAN.

anomaly-detection

anomaly-detection-1

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

anomaly-detection-using-autoencoders

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

anomalydetection-keras

apple-defect-detection

Apple Defect Detection

autoencoder-ssim-for-unsupervised-anomaly-detection-

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

autoencoders-for-anomaly-detection

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

baseline_segment_resunet_pytorch

a baseline for defect segmentation

cplusplus-concurrency-in-practice

A Detailed Cplusplus Concurrency Tutorial 《C++ 并发编程指南》

cudalibrarysamples

CUDA Library Samples

deepglobe-road-extraction-challenge

D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction

deeplearningbasics

深度学习数学、模型结构和基础应用

deepsocial

Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic and Beyond

detection-of-defects-in-fruits-and-vegetables

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.

detectron.pytorch

A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.

eigen-chinese-document

这是Eigen 3.4.90官方文档的翻译

eigen-cuda

MWE for using the Eigen library in CUDA kernels

eigenchinesedocument

This is my translation of Chinese document of Eigen

gmtsar

GMTSAR

image-denoising-using-convolutional-autoencoder

The objective is to add some noise to the images and then use an Convolutional Autoencoder to denoise them.

image_segmentation

Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.

matrix

A simple C++ matrix class with standard operations

matrix-inverse-in-cuda

Here the Matrix Inversion is done using CuBLAS and then It is multiplied with the given matrix using cuda Matrix Multiplication

matrix-inversion-with-cuda

I implemented a parallel algorithm for matrix inversion based on Gauss-Jordan elimination.

object_anomaly_detection

paddlesharp

.NET/C# binding for Baidu paddle inference library and PaddleOCR

padim-anomaly-detection-localization-master

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

professional-cuda-c-programming

cuda