jp6/cu122/: faiss-1.7.4 metadata and description

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A library for efficient similarity search and clustering of dense vectors

author Matthijs Douze, Jeff Johnson, Herve Jegou, Lucas Hosseini
author_email matthijs@fb.com
keywords search nearest neighbors
license MIT
requires_dist
  • numpy

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faiss-1.7.4-py3-none-any.whl
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50 MB
Type
Python Wheel
Python
3
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  • Uploaded to jp6/cu122 by jp6 2024-04-10 14:41:01

Faiss is a library for efficient similarity search and clustering of dense
vectors. It contains algorithms that search in sets of vectors of any size,
up to ones that possibly do not fit in RAM. It also contains supporting
code for evaluation and parameter tuning. Faiss is written in C++ with
complete wrappers for Python/numpy. Some of the most useful algorithms
are implemented on the GPU. It is developed by Facebook AI Research.


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