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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.

Uploaded Mon Mar 31 00:16:05 2025
md5 checksum 75e413b8f4de2dca41ea140fae343c1e
arch x86_64
build py39h3c18c91_0
depends libgcc-ng >=11.2.0, libstdcxx-ng >=11.2.0, numpy >=1.21.5,<2.0a0, psutil, pybind11 >=2.2.3, python >=3.9,<3.10.0a0
license Apache-2.0
license_family Apache
md5 75e413b8f4de2dca41ea140fae343c1e
name nmslib
platform linux
sha1 b956cdaf0aa01185cc715ab4cb53ee750f634fdb
sha256 894f464336731c43277c7e3ab9c95e0bef25e5680cf9e516c67f610647e54637
size 676160
subdir linux-64
timestamp 1685619254695
version 2.1.1