jmschrei / apricot

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Date Created 2018-08-12 (6 years ago)

Commits 172 (last one 3 years ago)

Stargazers 499 (0 this week)

Watchers 9 (0 this week)

Forks 48

License mit

Ranking

RepositoryStats indexes 584,777 repositories, of these jmschrei/apricot is ranked #90,741 (84th percentile) for total stargazers, and #224,086 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,919/17,124.

jmschrei/apricot is also tagged with popular topics, for these it's ranked: python (#4,724/22023), machine-learning (#2,019/7935), data-science (#589/2104)

Other Information

jmschrei/apricot has 2 open pull requests on Github, 8 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 12 open issues and 21 closed issues.

There have been 2 releases, the latest one was published on 2023-11-17 (about a year ago) with the name v0.6.1.

All Topics

python data-science submodularity machine-learning submodular-optimization

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updated: 2024-10-26 @ 04:16pm, id: 144432613 / R_kgDOCJvd5Q