pyod and pytod
About pyod
yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
This helps data analysts and researchers identify unusual or suspicious data points within large, complex datasets. You input your tabular data, and it outputs scores indicating how much each data point deviates from the norm. This is designed for anyone who needs to find anomalies in multivariate data for tasks like fraud detection, quality control, or system monitoring.
About pytod
yzhao062/pytod
TOD: GPU-accelerated Outlier Detection via Tensor Operations
This tool helps you quickly identify unusual or anomalous data points within large datasets, a critical task for detecting fraud, system intrusions, or other rare events. You input your raw dataset, and it outputs a score indicating how likely each data point is an outlier. Data scientists, security analysts, and financial analysts who work with extensive datasets will find this useful for accelerating their anomaly detection workflows.
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