rragundez / chunkdot

Multi-threaded matrix multiplication and cosine similarity calculations for dense and sparse matrices. Appropriate for calculating the K most similar items for a large number of items by chunking the item matrix representation (embeddings) and using Numba to accelerate the calculations.

Date Created 2023-03-06 (about a year ago)

Commits 143 (last one 4 months ago)

Stargazers 75 (0 this week)

Watchers 2 (0 this week)

Forks 5

License mit

Ranking

RepositoryStats indexes 585,880 repositories, of these rragundez/chunkdot is ranked #353,265 (40th percentile) for total stargazers, and #479,482 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #66,287/116,710.

rragundez/chunkdot is also tagged with popular topics, for these it's ranked: embeddings (#232/333)

Other Information

rragundez/chunkdot has Github issues enabled, there are 3 open issues and 2 closed issues.

All Topics

numba embeddings vectorization cosine-similarity

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

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The primary language is Python but there's also others...

updated: 2024-10-03 @ 11:28pm, id: 610501127 / R_kgDOJGOCBw