mlpack: a scalable C++ machine learning library

A fast K Nearest Neighbor library for low-dimensional spaces

Navigable Small World Graphs For Approximate Nearest Neighbors In Rust

Vantage Point Tree implementation in Python 🌳

Java WSDL-based SOAP web service with Springboot (Spring-WS, Contract first) and nearest neighbor search

Neighbor Search and Clustering for Vectors using Locality-sensitive hashing and Randomized Projection to Hypercube

KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.

Four core workers of shotit: watcher, hasher, loader and searcher.

Python wrapper for Boost Geometry Rtree

Near neighbor searching and clustering using LSH

An image similarity search engine has been developed that finds images similar to the image selected by the user from the dataset provided by the user. The latent vectors of the images are generated by a CNN based autoencoder model. KNN is used to find images similar to the selected image. An image similarity search engine platform has been created

VectorizeDB is a database for vectorized data and metadata, allowing for fast similarity search and retrieval.

A project based off of the multiple vehicle routing problem with time windows and constraints.

An Android library in Java for solving the Capacitated Vehicle Routing Problem (CVRP). Features include nearest neighbor algorithm for route optimization and efficient storage of distance matrices. Simplify CVRP implementation and enhance routing efficiency with DSM Solver.

Generates efficient package delivery routes, employing the nearest neighbor algorithm for on-time deliveries. Features real-time tracking, dynamic rerouting, and scalable infrastructure.

The project implements an algorithm that finds the closest pair of points in a 2D screen using a time complexity of O(n log n). The algorithm is implemented in an iOS application using the MVC architectural pattern.

v2vk(Vevtor2Vector Kit), annoy server (or faiss server in future).