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[ Quellcode: faiss ]
Paket: python3-faiss (1.11.0-3)
Links für python3-faiss
Quellcode-Paket faiss herunterladen:
Betreuer:
Externe Ressourcen:
- Homepage [github.com]
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Python 3 module for 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 Python interface.
Andere Pakete mit Bezug zu python3-faiss
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- dep: libblas3
- Basic Linear Algebra Reference implementations, shared library
- oder libblas.so.3
- virtuelles Paket, bereitgestellt durch libblas3, libblis4-openmp, libblis4-pthread, libblis4-serial, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libc6 (>= 2.38)
- GNU C Library: Shared libraries
auch ein virtuelles Paket, bereitgestellt durch libc6-udeb
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- dep: libgcc-s1 (>= 3.4)
- GCC support library
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- dep: libgomp1 (>= 6)
- GCC OpenMP (GOMP) support library
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- dep: liblapack3
- Library of linear algebra routines 3 - shared version
- oder liblapack.so.3
- virtuelles Paket, bereitgestellt durch liblapack3, libopenblas0-openmp, libopenblas0-pthread, libopenblas0-serial
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- dep: libstdc++6 (>= 14)
- GNU Standard C++ Library v3
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- dep: python3
- interactive high-level object-oriented language (default python3 version)
- dep: python3 (<< 3.14)
- dep: python3 (>= 3.13~)
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- dep: python3-numpy
- Python library for numerical computations (Python 3)
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- dep: python3-numpy2-abi0
- virtuelles Paket, bereitgestellt durch python3-numpy
- oder python3-numpy-abi9
- Paket nicht verfügbar
-
- dep: python3-packaging
- core utilities for python3 packages
python3-faiss herunterladen
| Architektur | Paketgröße | Größe (installiert) | Dateien |
|---|---|---|---|
| amd64 | 2.073,2 kB | 11.323,0 kB | [Liste der Dateien] |