머신러닝(GAN등)을 기반으로 Anomaly Detection을 하는 예제 코드 및 논문, 설명이 있는 사이트들을 정리하였습니다.

- Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

https://arxiv.org/abs/1703.05921

- Anomaly Detection in Images

https://towardsdatascience.com/anomaly-detection-in-images-777534980aeb

- RNN based Time-series Anomaly detector model implemented in Pytorch

https://github.com/chickenbestlover/RNN-Time-series-Anomaly-Detection

- Tensorflow Implementation of AnoGAN (Anomaly GAN)

https://github.com/LeeDoYup/AnoGAN-tf

- Unsupervised anomaly detection with GAN 정리

https://sensibilityit.tistory.com/506

- anomaly detection with GAN

https://github.com/yjucho1/anoGAN

- Unsupervised anomaly detection with generative model, keras implementation

https://github.com/tkwoo/anogan-keras

- Anomaly detection

https://www.slideshare.net/ChulKim12/anomaly-detection-63382182

- Operational AI: 지속적으로 학습하는 Anomaly Detection 시스템 만들기

https://tv.naver.com/v/11207334

- Introduction to Deep Anomaly Detection

https://kh-kim.github.io/blog/2019/12/12/Deep-Anomaly-Detection.html

- Keras 로 구현한 AnoGAN

http://cedro3.com/ai/keras-anogan-anomaly/

- AnoGAN을 이용한 철강 소재 결함 검출 AI

https://www.slideshare.net/mobile/HYEJINLIM10/anogan-ai-127348006

* GAN 으로 생성한 이미지의 격자 무늬 없애기

https://distill.pub/2016/deconv-checkerboard/

[20200130_추가 링크]
- “Anomaly Detection 개요： (1) 이상치 탐지 분야에 대한 소개 및 주요 문제와 핵심 용어, 산업 현장 적용 사례 정리”

http://research.sualab.com/introduction/review/2020/01/30/anomaly-detection-overview-1.html

[20200207_추가 링크]

- Intro to anomaly detection with OpenCV, Computer Vision, and scikit-learn
https://www.pyimagesearch.com/2020/01/20/intro-to-anomaly-detection-with-opencv-computer-vision-and-scikit-learn/