kLabUM / rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Date Created 2018-10-20 (6 years ago)

Commits 266 (last one about a year ago)

Stargazers 506 (0 this week)

Watchers 18 (0 this week)

Forks 113

License mit

Ranking

RepositoryStats indexes 628,868 repositories, of these kLabUM/rrcf is ranked #93,753 (85th percentile) for total stargazers, and #120,030 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #15,808/128,166.

kLabUM/rrcf is also tagged with popular topics, for these it's ranked: python (#4,890/23309), machine-learning (#2,072/8367), anomaly-detection (#61/353)

Other Information

kLabUM/rrcf has 3 open pull requests on Github, 50 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 27 open issues and 21 closed issues.

There have been 7 releases, the latest one was published on 2023-03-15 (2 years ago) with the name 0.4.4.

Homepage URL: https://klabum.github.io/rrcf/

All Topics

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

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Recent Commit History

13 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2025-03-19 @ 03:53pm, id: 153873481 / R_kgDOCSvsSQ