pdrm83 / sent2vec

How to encode sentences in a high-dimensional vector space, a.k.a., sentence embedding.

Date Created 2020-08-12 (4 years ago)

Commits 54 (last one 2 years ago)

Stargazers 133 (0 this week)

Watchers 7 (0 this week)

Forks 12

License mit

Ranking

RepositoryStats indexes 579,555 repositories, of these pdrm83/sent2vec is ranked #237,318 (59th percentile) for total stargazers, and #268,427 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #43,122/115,123.

pdrm83/sent2vec is also tagged with popular topics, for these it's ranked: machine-learning (#4,061/7877), ai (#1,796/3806), nlp (#1,238/2392), artificial-intelligence (#1,026/2035), natural-language-processing (#722/1402)

Other Information

pdrm83/sent2vec has Github issues enabled, there are 7 open issues and 4 closed issues.

There have been 1 release, the latest one was published on 2022-03-24 (2 years ago) with the name V0.3.0.

All Topics

ai nlp sent2vec word2vec encode-sentences machine-learning sentence-embeddings nlp-machine-learning artificial-intelligence natural-language-processing

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

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updated: 2024-09-01 @ 08:25am, id: 287124242 / R_kgDOER0rEg