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yzhao062/pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

About the project

PyOD is a Python library for detecting unusual or outlying data points across tabular, time-series, graph, text, image, and audio data. It is used by developers and machine-learning practitioners for tasks such as anomaly detection, fraud analysis, and unsupervised data exploration. The catalogue includes a skill for working with the library.

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yzhao062/pyod

Skill Claude CodeCodex

Anomaly detection expert backed by PyOD's ADEngine. Drives autonomous detection workflows on tabular, time series, graph, text, and image data: profiling, planning, multi-detector comparison, quality assessment, iteration, and reporting. Encodes deep OD knowledge so non-expert users can run the full workflow without…

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