libfaiss (math/libfaiss) Updated: 1 year, 10 months ago Add to my watchlist

Efficient similarity search library from Facebook AI Research.

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.

Version: 1.7.3 License: BSD

GitHub

Maintainers	beauby mdouze
Categories	math
Homepage	https://github.com/facebookresearch/faiss
Platforms	darwin
Variants	debug (Enable debug binaries) openblas (Use OpenBLAS instead of Apple's Accelerate framework) universal (Build for multiple architectures)

Subport(s) (4)

py310-faiss

py37-faiss

py38-faiss

py39-faiss

"libfaiss" depends on

lib (2)

libomp

OpenBLAS

build (2)

clang-17

cmake

Ports that depend on "libfaiss"

No ports

Port Health:

Loading Port Health

Installations (30 days)

4

Requested Installations (30 days)

2

Livecheck results

libfaiss seems to have been updated (port version: 1.7.3, new version: 1.9.0)

livecheck ran: an hour ago

libfaiss (math/libfaiss) Updated: 1 year, 10 months ago Add to my watchlist 0