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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. It is developed by Facebook AI Research.

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Release files for faiss-cpu-noavx2 1.6.3

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Source distribution (sdist)

Source distribution for faiss-cpu-noavx2 1.6.3
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faiss-cpu-noavx2-1.6.3.tar.gz 16.2 kB Details

Built distributions (wheels)

Table of built distributions (wheels) for faiss-cpu-noavx2 1.6.3
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faiss_cpu_noavx2-1.6.3-cp38-cp38-manylinux2010_x86_64.whl CPython 3.8 CPython 3.8 Linux glibc 2.12+ x86-64 Details
faiss_cpu_noavx2-1.6.3-cp38-cp38-macosx_10_14_x86_64.whl CPython 3.8 CPython 3.8 macOS 10.14+ x86-64 Details
faiss_cpu_noavx2-1.6.3-cp37-cp37m-manylinux2010_x86_64.whl CPython 3.7 CPython 3.7 pymalloc Linux glibc 2.12+ x86-64 Details
faiss_cpu_noavx2-1.6.3-cp37-cp37m-macosx_10_14_x86_64.whl CPython 3.7 CPython 3.7 pymalloc macOS 10.14+ x86-64 Details
faiss_cpu_noavx2-1.6.3-cp36-cp36m-manylinux2010_x86_64.whl CPython 3.6 CPython 3.6 pymalloc Linux glibc 2.12+ x86-64 Details
faiss_cpu_noavx2-1.6.3-cp36-cp36m-macosx_10_14_x86_64.whl CPython 3.6 CPython 3.6 pymalloc macOS 10.14+ x86-64 Details
faiss_cpu_noavx2-1.6.3-cp35-cp35m-manylinux2010_x86_64.whl CPython 3.5 CPython 3.5 pymalloc Linux glibc 2.12+ x86-64 Details
faiss_cpu_noavx2-1.6.3-cp35-cp35m-macosx_10_14_x86_64.whl CPython 3.5 CPython 3.5 pymalloc macOS 10.14+ x86-64 Details

Total release size: 34.6 MB

Release files / faiss-cpu-noavx2-1.6.3.tar.gz

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Release files / faiss_cpu_noavx2-1.6.3-cp37-cp37m-manylinux2010_x86_64.whl

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Release files / faiss_cpu_noavx2-1.6.3-cp37-cp37m-macosx_10_14_x86_64.whl

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