FALCONN Similarity Search Over High-Dimensional Data

FAst Lookups of Cosine and Other Nearest Neighbors is a C library with a Python wrapper for similarity search over high-dimensional data. It supports cosine similarity. And the Euclidean distance. The main ingredient of FALCONN is a Locality-Sensitive Hashing. Family for cosine similarity that is. Optimal in theory,. See the github repo. For the source code and documentation. Released under the MIT license. Version 1.2.2. To install the Pypi. For more detailed results, see ann-benchmarks.

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MIT - Massachusetts Institute of Technology

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TITLE

FALCONN Similarity Search Over High-Dimensional Data

DESCRIPTION

FAst Lookups of Cosine and Other Nearest Neighbors is a C library with a Python wrapper for similarity search over high-dimensional data. It supports cosine similarity. And the Euclidean distance. The main ingredient of FALCONN is a Locality-Sensitive Hashing. Family for cosine similarity that is. Optimal in theory,. See the github repo. For the source code and documentation. Released under the MIT license. Version 1.2.2. To install the Pypi. For more detailed results, see ann-benchmarks.

CONTENT

This web site falconn-lib.org had the following in the web page, "FAst Lookups of Cosine and Other Nearest Neighbors is a C library with a Python wrapper for similarity search over high-dimensional data." Our analyzers noticed that the webpage stated " The main ingredient of FALCONN is a Locality-Sensitive Hashing." The Website also said " Family for cosine similarity that is. For the source code and documentation. Released under the MIT license. For more detailed results, see ann-benchmarks."

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