Anomaly Detection and Correlation library

An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana

Twitter's Anomaly Detection in Pure Python

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

Anomaly detection for streaming data using autoencoders

A Python Package for Density Ratio Estimation

This is an official implementation for "Anomaly Segmentation for High-Resolution Remote Sensing Images Based on Pixel Descriptors“ (AAAI 2023))

This is an official implementation for "Attention-based Residual Autoencoder for Video Anomaly Detection".

Segmentation-based Anomaly Detector (SegAD)

Anomaly detection method that incorporates multi-scale features to sparse coding

Detecting malicious URLs using an autoencoder neural network

Unofficial PyTorch implementation for f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks.

Official Implement of "ADGym: Design Choices for Deep Anomaly Detection", NeurIPS 2023

🐶 Anomaly detection system for Datadog multiple metrics

[ICDE'2024] Temporal-Frequency Masked Autoencoders for Time Series Anomaly Detection

异常检测

Anomaly Detection: Nelson Rules for Control Chart - Python implementation

Tensorflow implementation of GAID

Startup some anomaly detection with pytorch!

This project aims to compare different models and benchmark a model that would be suitable to detect anomalies in streaming data in real time and will be adaptative to concept drift.