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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
JSON representation
🌲 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 (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-02-24T12:21:01.000Z (10 months ago)
- Last Synced: 2024-07-31T21:53:39.779Z (4 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: 112
- Open Issues: 29
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Metadata Files:
- Readme: README.md
- License: LICENSE
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