There are 6 repositories under anomaly topic.
A curated list of awesome anomaly detection resources
Algorithms for outlier, adversarial and drift detection
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Deep Anomaly Detection with Outlier Exposure (ICLR 2019)
Anomaly detection
Tidy anomaly detection
Streaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases
Anomaly detection for streaming time series, featuring automated model selection.
Anomaly detection tutorial on univariate time series with an auto-encoder
Examples of not obvious behaviors for javascript beginner programmers
Quick and Easy Time Series Outlier Detection
An Tensorflow Re-Implement of CVPR 2019 "Object-centric Auto-Encoders and Dummy Anomalies for Abnormal Event Detection in Video"
Feature Space Singularity for Out-of-Distribution Detection. (SafeAI 2021)
Datasets for Predictive Maintenance
Time-Series Anomaly Detection Comprehensive Benchmark
This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.
List of datasets and papers in X-ray security images (Computer vision/Machine Learning)
2D Outlier Analysis using Shiny
NETS:Extremely Fast Outlier Detection from a Data Stream via Set-Based Processing
CoRA Docs
Ultrafast Local Outlier Detection from a Data Stream with Stationary Region Skipping
Anomaly Detection Pipeline with Isolation Forest model and Kedro framework
Thesis project about Unsupervised anomaly detection on the streaming time-series data of porfolio risk measures and returns.
This demo shows how to detect the crack images using one-class SVM using MATLAB.
Enabling power of typescript and pre-processing for XRay-16 engine.
PyTorch implementation of "Reconstruction by inpainting for visual anomaly detection (RIAD)"
A Snort 3 Machine Learning-based Inspector for Bidirectional Network Flow Classification.