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)


"libfaiss" depends on

lib (2)
build (2)

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Livecheck results

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

livecheck ran: 1 day, 18 hours ago