Package: libfaiss-dev
Source: faiss
Version: 1.13.2-1build1
Architecture: amd64
Architecture-Variant: amd64v3
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Deep Learning Team <debian-ai@lists.debian.org>
Installed-Size: 14334
Depends: libblas-dev | libblas.so, liblapack-dev | liblapack.so
Section: libdevel
Priority: optional
Multi-Arch: same
Homepage: https://github.com/facebookresearch/faiss
Description: 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.
