[ aramo ]
[ xolotl ]
[ Source: faiss ]
Package: python3-faiss (1.13.2-1build1)
Links for python3-faiss
Trisquel Resources:
Download Source Package faiss:
Maintainer:
Original Maintainers:
- Debian Deep Learning Team (Mail Archive)
- Mo Zhou
- Shengqi Chen
External Resources:
- Homepage [github.com]
Similar packages:
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.
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Download python3-faiss
| Architecture | Package Size | Installed Size | Files |
|---|---|---|---|
| amd64 | 2,573.1 kB | 12421 kB | [list of files] |
| arm64 | 2,341.9 kB | 11925 kB | [list of files] |
| armhf | 2,377.1 kB | 8870 kB | [list of files] |
| ppc64el | 3,012.3 kB | 20053 kB | [list of files] |
| riscv64 | 2,571.5 kB | 11593 kB | [list of files] |