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

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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.

Outros pacotes relacionados a libfaiss-dev

• dep: libblas-dev

  Basic Linear Algebra Subroutines 3, static library

  ou libblas.so

  pacote virtual fornecido por 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

  ou liblapack.so

  pacote virtual fornecido por libatlas-base-dev, liblapack-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev

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Arquitetura	Tamanho do pacote	Tamanho instalado	Arquivos
alpha (porte não oficial)	1,900.4 kB	20,163.0 kB	[lista de arquivos]