K Nearest Neighbors Python Packages

pyspark-hnsw

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

ngt

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

sealion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

spotify-recommender-api

Introducing "spotify-recommender-api", a pip package that uses an adaptation of the KNN algorithm to make personalized song recommendations for users. It analyzes your Spotify listening stats and suggests new tracks you may enjoy, and also clusters similar songs on a big playlist in order to help one find songs that play well in a smaller playlist

hnswlib-spark

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

daisyrec

Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)

horapy

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

sknni

Spherical k-nearest neighbors interpolation (geospatial interpolator)

spotify-recommender

Introducing "spotify-recommender-api", a pip package that uses an adaptation of the KNN algorithm to make personalized song recommendations for users. It analyzes your Spotify listening stats and suggests new tracks you may enjoy, and also clusters similar songs on a big playlist in order to help one find songs that play well in a smaller playlist