dilyabareeva / quanda

A toolkit for quantitative evaluation of data attribution methods.

Date Created 2024-03-26 (9 months ago)

Commits 1,104 (last one 18 days ago)

Stargazers 36 (0 this week)

Watchers 2 (0 this week)

Forks 0

License mit

Ranking

RepositoryStats indexes 595,856 repositories, of these dilyabareeva/quanda is ranked #540,805 (9th percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #15,176/17,543.

dilyabareeva/quanda is also tagged with popular topics, for these it's ranked: deep-learning (#8,007/8512), machine-learning (#7,564/8063), computer-vision (#2,898/3130), explainable-ai (#149/171), interpretability (#147/169)

Other Information

dilyabareeva/quanda has 5 open pull requests on Github, 102 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 32 open issues and 103 closed issues.

There have been 2 releases, the latest one was published on 2024-11-21 (about a month ago) with the name v0.0.3.

Homepage URL: https://quanda.readthedocs.io

All Topics

deep-learning explainable-ai computer-vision data-attribution interpretability machine-learning

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1,104 commits on the default branch (main) since jan '22

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

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updated: 2024-12-20 @ 04:00am, id: 777729549 / R_kgDOLls2DQ