[ aramo ]
[ ソース: faiss ]
パッケージ: libfaiss-dev (1.7.2-5)
libfaiss-dev に関するリンク
Trisquel の資源:
faiss ソースパッケージをダウンロード:
メンテナ:
Original Maintainers:
- Debian Deep Learning Team (メールアーカイブ)
- Mo Zhou
外部の資源:
- ホームページ [github.com]
類似のパッケージ:
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
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- 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