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

[ Източник:  ]

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.

Други пакети, свързани с libfaiss-dev

• dep: libblas-dev

  Basic Linear Algebra Subroutines 3, static library

  или libblas.so

  виртуален пакет, предлаган от 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

  виртуален пакет, предлаган от libatlas-base-dev, liblapack-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev

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Архитектура	Големина на пакета	Големина след инсталиране	Файлове
alpha (неофициална архитектура)	1 900,4 кБ	20 163,0 кБ	[списък на файловете]