[ aramo ]
[ Source: faiss ]
Package: libfaiss-dev (1.7.2-5)
Links for libfaiss-dev
Trisquel Resources:
Download Source Package faiss:
Maintainer:
Original Maintainers:
- Debian Deep Learning Team (Mail Archive)
- Mo Zhou
External Resources:
- Homepage [github.com]
Similar packages:
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.
Other Packages Related to libfaiss-dev
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- dep: libblas-dev
- Basic Linear Algebra Subroutines 3, static library
- or libblas.so
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- or liblapack.so
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Download libfaiss-dev
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 927.1 kB | 6078 kB | [list of files] |
| arm64 | 900.6 kB | 5818 kB | [list of files] |
| armhf | 922.3 kB | 4597 kB | [list of files] |
| ppc64el | 38,640.8 kB | 135812 kB | [list of files] |