パッケージ: libfaiss-dev (1.8.0-5) [debports]
libfaiss-dev に関するリンク
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外部の資源:
- ホームページ [github.com]
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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.
その他の libfaiss-dev 関連パッケージ
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- dep: libblas-dev
- Basic Linear Algebra Subroutines 3, static library
- または libblas.so
- 以下のパッケージによって提供される仮想パッケージです: 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
- または liblapack.so
- 以下のパッケージによって提供される仮想パッケージです: libatlas-base-dev, liblapack-dev, libopenblas-openmp-dev, libopenblas-pthread-dev, libopenblas-serial-dev