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https://github.com/kLabUM/rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
https://github.com/kLabUM/rrcf

anomaly-detection detect-outliers machine-learning outliers python random-forest robust-random-cut-forest streaming-data tree

Last synced: about 2 months ago
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🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Host: GitHub
URL: https://github.com/kLabUM/rrcf
Owner: kLabUM
License: mit
Created: 2018-10-20T05:39:05.000Z (almost 6 years ago)
Default Branch: master
Last Pushed: 2024-02-24T12:21:01.000Z (7 months ago)
Last Synced: 2024-06-11T19:17:54.212Z (3 months ago)
Topics: anomaly-detection, detect-outliers, machine-learning, outliers, python, random-forest, robust-random-cut-forest, streaming-data, tree
Language: Python
Homepage: https://klabum.github.io/rrcf/
Size: 4.45 MB
Stars: 488
Watchers: 20
Forks: 111
Open Issues: 29
Metadata Files:
- Readme: README.md
- License: LICENSE