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Title: GitHub - wdnmdpython/faiss: A library for efficient similarity search and clustering of dense vectors.

Open Graph Title: GitHub - wdnmdpython/faiss: A library for efficient similarity search and clustering of dense vectors.

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Description: A library for efficient similarity search and clustering of dense vectors. - wdnmdpython/faiss

Open Graph Description: A library for efficient similarity search and clustering of dense vectors. - wdnmdpython/faiss

X Description: A library for efficient similarity search and clustering of dense vectors. - wdnmdpython/faiss

Opengraph URL: https://github.com/wdnmdpython/faiss

X: @github

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Facebook AI Research	https://research.fb.com/category/facebook-ai-research-fair/
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	https://patch-diff.githubusercontent.com/wdnmdpython/faiss#how-faiss-works
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doxygen documentation	http://rawgithub.com/facebookresearch/faiss/master/docs/html/annotated.html
Polysemous codes	https://arxiv.org/abs/1609.01882
Billion-scale similarity search with GPUs	https://arxiv.org/abs/1702.08734
benchmarks README	https://patch-diff.githubusercontent.com/wdnmdpython/faiss/blob/master/benchs/README.md
Link and code: Fast indexing with graphs and compact regression codes	https://arxiv.org/abs/1804.09996
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	https://patch-diff.githubusercontent.com/wdnmdpython/faiss#authors
Hervé Jégou	https://github.com/jegou
Matthijs Douze	https://github.com/mdouze
Jeff Johnson	https://github.com/wickedfoo
Lucas Hosseini	https://github.com/beauby
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