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Knn Search Python Packages

Python packages with the GitHub topic knn-search. Sorted by relevance, with stars and monthly downloads.
jelmerk
pyspark-hnsw

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

1.3M 303 59
nmslib
nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

163K 4K 462
nmslib
nmslib-metabrainz

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

43K 4K 462
Restream
pyreindexer

Embeddable, in-memory, document-oriented database with a high-level Query builder interface.

21K 804 62
yahoojapan
ngt

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

3K 1K 131
nmslib
fixed-install-nmslib

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

868 4K 462
jelmerk
hnswlib-spark

Java library for approximate nearest neighbors search using Hierarchical Navigable Small World graphs

650 303 59
unum-cloud
ukv

Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang 🗄️

459 632 35
src-d
libkmcuda

Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

411 840 147
habedi
pyspart

A collection of space partitioning trees for Rust 🦀 with Python bindings 🐍

224 89 7
AlbertSuarez
nmslib-viz

📊 NMSLIB visualization tool

159 6 0
nmslib
nmslib-nobrainz

Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.

116 4K 462
vioshyvo
mrpt

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

114 268 47
unum-cloud
ustore

Python bindings for Unum's UStore.

92 632 35
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