cpa-analytics / embedding-encoder

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

Date Created 2021-12-29 (2 years ago)

Commits 91 (last one 2 years ago)

Stargazers 41 (0 this week)

Watchers 3 (0 this week)

Forks 7

License mit

Ranking

RepositoryStats indexes 534,880 repositories, of these cpa-analytics/embedding-encoder is ranked #472,123 (12th percentile) for total stargazers, and #399,187 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #12,414/14,941.

cpa-analytics/embedding-encoder is also tagged with popular topics, for these it's ranked: deep-learning (#7,136/7826), machine-learning (#6,746/7374), tensorflow (#2,054/2166), keras (#727/762), neural-networks (#636/676), scikit-learn (#311/333), embeddings (#262/292)

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 (2 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: 2024-06-15 @ 05:43am, id: 442635925 / R_kgDOGmIWlQ