Benchmark for DeepLearning anomaly detection

使用极端值理论(Extreme Value Theory)实现阈值动态自动化设置

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

ADRepository: Real-world anomaly detection datasets

Faker is a Nim package that generates fake data for you.

High-performance time series algorithms for Ruby

OpenSnitch is a GNU/Linux application firewall

Thio - a playground for real-time anomaly detection

PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

(Python, R, C++) Explainable outlier/anomaly detection through decision tree conditioning

Creates fake JSON files from a JSON schema

Official codes for CVPR2021 paper "MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection"

Useful Toolbox for Anomaly Detection

A lightweight alternative to faker.js

A thesis submitted for the degree of Master of Science in Computer Networks and Security

Brings the popular ruby faker gem to Java and Kotlin

Faster and more precisely than Grad-CAM

Merlion: A Machine Learning Framework for Time Series Intelligence

SyntheticSun is a defense-in-depth security automation and monitoring framework which utilizes threat intelligence, machine learning, managed AWS security services and, serverless technologies to continuously prevent, detect and respond to threats.

Unsupervised Anomaly Detection with Generative Adversarial Networks on MIAS dataset