[ aramo ]
[ Quellcode: faiss ]
Paket: libfaiss-dev (1.7.2-5)
Links für libfaiss-dev
Trisquel-Ressourcen:
Quellcode-Paket faiss herunterladen:
Betreuer:
Original Maintainers:
- Debian Deep Learning Team (E-Mail-Archiv)
- Mo Zhou
Externe Ressourcen:
- Homepage [github.com]
Ähnliche Pakete:
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.
Andere Pakete mit Bezug zu libfaiss-dev
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- dep: libblas-dev
- Basic Linear Algebra Subroutines 3, static library
- oder libblas.so
- virtuelles Paket, bereitgestellt durch libatlas-base-dev, libblas-dev, libblis-openmp-dev, libblis-pthread-dev, libblis-serial-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev
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- dep: liblapack-dev
- Library of linear algebra routines 3 - static version
- oder liblapack.so
- virtuelles Paket, bereitgestellt durch libatlas-base-dev, liblapack-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev
libfaiss-dev herunterladen
| Architektur | Paketgröße | Größe (installiert) | Dateien |
|---|---|---|---|
| amd64 | 927,1 kB | 6078 kB | [Liste der Dateien] |
| arm64 | 900,6 kB | 5818 kB | [Liste der Dateien] |
| armhf | 922,3 kB | 4597 kB | [Liste der Dateien] |
| ppc64el | 38.640,8 kB | 135812 kB | [Liste der Dateien] |