RelevanceAI / vectorhub

Vector Hub - Library for easy discovery, and consumption of State-of-the-art models to turn data into vectors. (text2vec, image2vec, video2vec, graph2vec, bert, inception, etc)

Date Created 2020-10-26 (3 years ago)

Commits 773 (last one about a month ago)

Stargazers 549 (0 this week)

Watchers 18 (0 this week)

Forks 57

License unknown

Ranking

RepositoryStats indexes 564,918 repositories, of these RelevanceAI/vectorhub is ranked #82,696 (85th percentile) for total stargazers, and #121,488 for total watchers.

RelevanceAI/vectorhub is also tagged with popular topics, for these it's ranked: python (#4,317/21406), deep-learning (#1,896/8170), machine-learning (#1,870/7699), pytorch (#1,272/5820), tensorflow (#652/2214), artificial-intelligence (#446/1955), neural-network (#297/1072), transformers (#188/787), deeplearning (#107/390), embeddings (#71/319), audio-processing (#51/272), video-processing (#50/247)

Other Information

RelevanceAI/vectorhub has Github issues enabled, there are 9 open issues and 10 closed issues.

There have been 13 releases, the latest one was published on 2021-04-26 (3 years ago) with the name Release 1.2.1.

Homepage URL: https://relevanceai.com

All Topics

tfhub python vector pytorch word2vec encodings image2vec embeddings tensorflow deeplearning transformers deep-learning neural-network audio-processing machine-learning video-processing vector-similarity artificial-intelligence

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

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updated: 2024-09-21 @ 06:17pm, id: 307342292 / R_kgDOElGr1A