ThoughtRiver / lmdb-embeddings

Fast word vectors with little memory usage in Python

Date Created 2018-09-03 (5 years ago)

Commits 61 (last one 3 years ago)

Stargazers 414 (0 this week)

Watchers 19 (0 this week)

Forks 30

License gpl-3.0

Ranking

RepositoryStats indexes 533,807 repositories, of these ThoughtRiver/lmdb-embeddings is ranked #98,720 (82nd percentile) for total stargazers, and #113,797 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #16,093/103,260.

ThoughtRiver/lmdb-embeddings is also tagged with popular topics, for these it's ranked: embeddings (#79/292)

Other Information

ThoughtRiver/lmdb-embeddings has 1 open pull request on Github, 9 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there is 1 open issue and 2 closed issues.

There have been 6 releases, the latest one was published on 2020-02-24 (4 years ago) with the name Minor Release: Support `Raw` Decoding With Msgpack.

All Topics

lmdb text word glove speed gensim memory vectors fasttext word2vec magnitude embeddings

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

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

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The only known language in this repository is Python

updated: 2024-04-04 @ 03:47am, id: 147229508 / R_kgDOCMaLRA