Пакет: libfaiss-dev (1.13.2-1) [debports]

[ Источник:  ]

efficient similarity search and clustering of dense vectors

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.

This package contains the CPU-only version of the development files.

Другие пакеты, относящиеся к libfaiss-dev

• dep: libblas-dev

  Basic Linear Algebra Subroutines 3, static library

  или libblas.so

  виртуальный пакет, предоставляемый libatlas-base-dev, libblas-dev, libblis-openmp-dev, libblis-pthread-dev, libblis-serial-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev

• dep: liblapack-dev

  Library of linear algebra routines 3 - static version

  или liblapack.so

  виртуальный пакет, предоставляемый libatlas-base-dev, liblapack-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev

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Архитектура	Размер пакета	В установленном виде	Файлы
alpha (неофициальный перенос)	1 900,4 Кб	20 163,0 Кб	[список файлов]