Paquet : libfaiss-dev (1.11.0-3)

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Télécharger le paquet source faiss :

Responsables :

Ressources externes :

Page d'accueil [github.com]

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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.

Autres paquets associés à libfaiss-dev

dépendances

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dep: libblas-dev

Basic Linear Algebra Subroutines 3, static library

ou libblas.so

paquet virtuel fourni par 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

paquet virtuel fourni par liblapack-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev

Télécharger libfaiss-dev

Télécharger pour toutes les architectures proposées
Architecture	Taille du paquet	Espace occupé une fois installé	Fichiers
amd64	1 519,7 ko	12 718,0 ko	[liste des fichiers]