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A library for efficient similarity search and clustering of dense vectors.

Project description

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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Files for faiss-cpu, version 1.6.0
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Filename, size faiss_cpu-1.6.0-cp27-cp27m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.9 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp27-cp27m-macosx_10_6_intel.whl (1.7 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp27-cp27m-manylinux1_x86_64.whl (6.7 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp27-cp27m-manylinux2010_x86_64.whl (7.1 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp27-cp27mu-manylinux1_x86_64.whl (6.7 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp27-cp27mu-manylinux2010_x86_64.whl (7.1 MB) File type Wheel Python version cp27 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp35-cp35m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.9 MB) File type Wheel Python version cp35 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp35-cp35m-manylinux1_x86_64.whl (6.7 MB) File type Wheel Python version cp35 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp35-cp35m-manylinux2010_x86_64.whl (7.1 MB) File type Wheel Python version cp35 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp36-cp36m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.9 MB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp36-cp36m-macosx_10_6_intel.whl (1.7 MB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp36-cp36m-manylinux1_x86_64.whl (6.7 MB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp36-cp36m-manylinux2010_x86_64.whl (7.1 MB) File type Wheel Python version cp36 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp37-cp37m-macosx_10_6_intel.macosx_10_9_intel.macosx_10_9_x86_64.macosx_10_10_intel.macosx_10_10_x86_64.whl (1.9 MB) File type Wheel Python version cp37 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp37-cp37m-macosx_10_6_intel.whl (1.7 MB) File type Wheel Python version cp37 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp37-cp37m-manylinux1_x86_64.whl (6.7 MB) File type Wheel Python version cp37 Upload date Hashes View hashes
Filename, size faiss_cpu-1.6.0-cp37-cp37m-manylinux2010_x86_64.whl (7.1 MB) File type Wheel Python version cp37 Upload date Hashes View hashes
Filename, size faiss-cpu-1.6.0.tar.gz (15.7 kB) File type Source Python version None Upload date Hashes View hashes

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