yzhao062/pyod

A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)

PythonJupyter Notebookpythondata-sciencemachine-learningdata-miningdeep-learningpython3neural-networksoutliersautoencoderdata-analysisoutlier-detectionanomalypython2unsupervised-learningfraud-detectionanomaly-detectionoutlier-ensemblesnovelty-detectionout-of-distribution-detection
This is stars and forks stats for /yzhao062/pyod repository. As of 11 May, 2024 this repository has 7463 stars and 1291 forks.

Python Outlier Detection (PyOD) Deployment & Documentation & Stats & License News: We just released a 45-page, the most comprehensive anomaly detection benchmark paper. The fully open-sourced ADBench compares 30 anomaly detection algorithms on 57 benchmark datasets. For time-series outlier detection, please use TODS. For graph outlier detection, please use PyGOD. PyOD is the most comprehensive and scalable Python library for detecting outlying objects in multivariate data. This exciting...
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