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Non-Metric Space Library (NMSLIB) is an efficient cross-platform

similarity search library and a toolkit for evaluation of similarity search methods. The goal of the project is to create an effective and comprehensive toolkit for searching in generic and non-metric spaces. Even though the library contains a variety of metric-space access methods, our main focus is on generic and approximate search methods, in particular, on methods for non-metric spaces. NMSLIB is possibly the first library with a principled support for non-metric space searching.

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Release files for nmslib-nobrainz 2.1.2

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nmslib_nobrainz-2.1.2-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64 Details
nmslib_nobrainz-2.1.2-cp312-cp312-macosx_11_0_arm64.whl CPython 3.12 CPython 3.12 macOS 11.0+ ARM64 Details
nmslib_nobrainz-2.1.2-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.27+ ARM64, Linux glibc 2.28+ ARM64 Details
nmslib_nobrainz-2.1.2-cp311-cp311-macosx_11_0_arm64.whl CPython 3.11 CPython 3.11 macOS 11.0+ ARM64 Details

Total release size: 28.5 MB

Release files / nmslib_nobrainz-2.1.2.tar.gz

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2.1.2 This release

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