🕸️🦀 A WASM vector similarity search written in Rust

Geo Assist is a spatial library to manage spatial data in-memory.

C++ implementations of two multi-threaded, k-d tree-building algorithms that build either a k-d tree or a k-d tree-based key-to-value map. Multi-threaded algorithms are included for region search, nearest-neighbor search, and reverse-nearest-neighbor search.

K-D Tree Boids on Bevy

nanoflann wrapper for python and maybe fortran

Data and algorithms used in empirical contribution of the research project "The Impact of Physicality on Network Structure".

A package for creating hybrid solar system catalogues for making LSST predictions

This is the public repository for the "No-collision Transportation Maps" paper.

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

Header-only C++ K-d tree library

By applying K-D trees data structure, the program would do the map search based on provided x and y coordinates.

rust k-d tree implementation, and a pure-rust colordeposit as an example/benchmark

A CPU-based path tracer built in C++. Capable of rendering photorealistic scenes with depth of field and global illumination.

a specific data structure for efficiently representing our data. In particular, KD-trees helps organize and partition the data points based on specific conditions.💥🦄

Raku package with implementations of the K-Dimensional Tree (KDTree) algorithm.

Parallelize constructing k-D tree and performing k-NN using a thread pool

A simple generic k-d tree implementation.

A balanced k-d tree which can partition three-dimensional space to organize/insert objects. Search operation is also available.

An API to find the best partner to deliver beverages to our customers, providing the best and fastest service. To achieve this our compute fleet deals with GIS objects all the time.

Graph Algorithms for an Uber like project