Popular GitHub Repositories for Anomalydetection

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

A curated list of awesome anomaly detection resources

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

Anomaly Detection and Correlation library

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

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

Anomaly detection for streaming data using autoencoders

[5 FPS - 150 FPS] Learning Deep Features for One-Class Classification (AnomalyDetection). Corresponds RaspberryPi3. Convert to Tensorflow, ONNX, Caffe, PyTorch. Implementation by Python + OpenVINO/Tensorflow Lite.

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

Implementation of the Maximally Divergent Intervals algorithm for Anomaly Detection in multivariate spatio-temporal time-series.

Segmentation-based Anomaly Detector (SegAD)

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

Detecting malicious URLs using an autoencoder neural network

[VLDB 2023] Model Selection for Anomaly Detection in Time Series

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

Pytorch implementation of GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection

IoT Attack Detection with machine learning

Detection of network traffic anomalies using unsupervised machine learning

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