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 595,856 repositories, of these cpa-analytics/embedding-encoder is ranked #515,470 (13th percentile) for total stargazers, and #427,587 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #14,113/17,543.

cpa-analytics/embedding-encoder is also tagged with popular topics, for these it's ranked: deep-learning (#7,680/8512), machine-learning (#7,280/8063), tensorflow (#2,122/2255), keras (#752/794), neural-networks (#678/728), scikit-learn (#332/353), embeddings (#300/344)

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

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

Yearly Commits

Commits to the default branch (main) per year

Issue History

Languages

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

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