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 595,856 repositories, of these jmschrei/apricot is ranked #91,587 (85th percentile) for total stargazers, and #225,801 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #1,945/17,543.

jmschrei/apricot is also tagged with popular topics, for these it's ranked: python (#4,775/22324), machine-learning (#2,037/8063), data-science (#594/2138)

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-22 @ 03:13am, id: 144432613 / R_kgDOCJvd5Q