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 (4 years ago)
Commits 773 (last one 3 months ago)
Stargazers 552 (0 this week)
Watchers 18 (0 this week)
Forks 57
License unknown
Ranking

RepositoryStats indexes 584,353 repositories, of these RelevanceAI/vectorhub is ranked #84,033 (86th percentile) for total stargazers, and #122,593 for total watchers.

RelevanceAI/vectorhub is also tagged with popular topics, for these it's ranked: python (#4,392/22011),  deep-learning (#1,919/8389),  machine-learning (#1,900/7926),  pytorch (#1,288/5948),  tensorflow (#654/2241),  artificial-intelligence (#461/2061),  neural-network (#294/1090),  transformers (#196/828),  deeplearning (#106/399),  embeddings (#76/332),  audio-processing (#52/280),  video-processing (#52/259)

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

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

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RelevanceAI/vectorhub

updated: 2024-11-10 @ 03:00pm, id: 307342292 / R_kgDOElGr1A