A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
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Updated
Jun 5, 2024 - Python
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
This repository is showcasing our Anomaly Detection System, developed as our final project in the software engineering course, utilizing basic statistical techniques like mean, variance, and covariance to detects anomalies
This automated anomaly detection preprocessing pipeline can be used to automatically preprocess tabular data for anomaly detection methods.
CoRA Docs
Monthly, seasonal and annual temperature and precipitation anomalies visualization and reporting for British Columbia (BC) and its sub-regions.
Algorithms for outlier, adversarial and drift detection
Quick and Easy Time Series Outlier Detection
A DXML script mod for STALKER Anomaly (Open X-Ray/Monolith) that automatically patches text and associated user interface elements to have proper vertical alignment and additionally supports custom override values for elements by scope selector. Works in-engine and is compatible with all UI mods.
Data Communication Networks - Network Traffic Anomaly Detection
This library, designed for visualizing trees of the Isolation Forest, is available as an npm package. The project was created for my Bachelor's Thesis at TBU in Zlín, Czech Republic.
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.
Kibana Alert & Report App for Elasticsearch
Python script to graph monthly precipitation anomaly data and also the cumulative total
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