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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

cdae

Collaborative Denoising Auto-Encoder (CDAE)

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

darknet-1

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

deep-learning-approach-for-surface-defect-detection

A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"

deeplearning-models

A collection of various deep learning architectures, models, and tips

detr

End-to-End Object Detection with Transformers

dip

dip-1

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

fast-neural-style

Feedforward style transfer

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

gan-defect

demo project of <A Surface Defect Detection Method Based on Positive Samples>, deployed in pytorch

gan-keras

里面包含许多GAN算法的Keras源码，可以用于训练自己的模型。

ganomaly-mvtec-grid

pytorch

gans-awesome-applications

Curated list of awesome GAN applications and demo

gaussian-ad-mvtec

Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020

gaussian_mixture_model_for_clustering

Gaussian Mixture Model for Clustering

illustrationgan

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

knowledge_distillation_ad

leetcode

LeetCode刷题记录

map

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

mvtec-anomaly-detection

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

padim-anomaly-detection-localization-master

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

pixelannotationtool

Annotate quickly images.

plotneuralnet

Latex code for making neural networks diagrams

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-tutorial

Build your neural network easy and fast