mitmedialab / sherlock-project

This repository provides data and scripts to use Sherlock, a DL-based model for semantic data type detection: https://sherlock.media.mit.edu.

Date Created 2019-08-02 (5 years ago)

Commits 138 (last one about a year ago)

Stargazers 152 (0 this week)

Watchers 9 (0 this week)

Forks 70

License mit

Ranking

RepositoryStats indexes 597,824 repositories, of these mitmedialab/sherlock-project is ranked #220,683 (63rd percentile) for total stargazers, and #226,085 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #5,246/17,623.

mitmedialab/sherlock-project is also tagged with popular topics, for these it's ranked: deep-learning (#4,143/8534)

Other Information

mitmedialab/sherlock-project has 9 open pull requests on Github, 12 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 8 open issues and 28 closed issues.

There have been 2 releases, the latest one was published on 2022-02-22 (2 years ago) with the name Feature extraction speedup, bugfixes and model code..

Homepage URL: https://sherlock.media.mit.edu

All Topics

tables deep-learning semantic-type-detection semantic-table-interpretation

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

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

updated: 2024-12-14 @ 05:18am, id: 200261817 / R_kgDOC-_AuQ