cpa-analytics / embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

Date Created 2021-12-29 (3 years ago)

Commits 91 (last one 3 years ago)

Stargazers 42 (0 this week)

Watchers 2 (0 this week)

Forks 7

License mit

Ranking

RepositoryStats indexes 631,885 repositories, of these cpa-analytics/embedding-encoder is ranked #534,665 (15th percentile) for total stargazers, and #481,103 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,862/19,028.

cpa-analytics/embedding-encoder is also tagged with popular topics, for these it's ranked: deep-learning (#7,853/8803), machine-learning (#7,469/8396), tensorflow (#2,141/2300), keras (#757/809), neural-networks (#693/758), embeddings (#324/380), scikit-learn (#341/364)

Other Information

cpa-analytics/embedding-encoder has 7 open pull requests on Github, 16 pull requests have been merged over the lifetime of the repository.

There have been 2 releases, the latest one was published on 2022-03-09 (3 years ago) with the name 0.0.4.

All Topics

keras embeddings tensorflow scikit-learn deep-learning neural-networks machine-learning categorical-encoding categorical-features

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63 commits on the default branch (main) since jan '22

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updated: 2025-02-01 @ 05:37am, id: 442635925 / R_kgDOGmIWlQ