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k-d-tree

Here are 21 public repositories matching this topic...

🕸️🦀 A WASM vector similarity search written in Rust

  • UpdatedSep 20, 2023
  • Rust

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

  • UpdatedFeb 7, 2025
  • C++

K-D Tree Boids on Bevy

  • UpdatedNov 12, 2024
  • Rust

nanoflann wrapper for python and maybe fortran

  • UpdatedMar 24, 2025
  • C++

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

  • UpdatedMar 31, 2024
  • Jupyter Notebook

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

  • UpdatedApr 7, 2024
  • Python

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

  • UpdatedJan 1, 2021
  • Python

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

  • UpdatedSep 29, 2022
  • Java

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

  • UpdatedMay 25, 2023
  • C

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

  • UpdatedSep 12, 2024
  • C++

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

  • UpdatedApr 26, 2024
  • Rust

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

  • UpdatedFeb 17, 2023
  • C++

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

  • UpdatedJul 9, 2024
  • Raku

This project estimates tree crown volumes using 3D modeling and high-resolution LiDAR datasets (AHN4 and Kavel_10) in Nijmegen, Netherlands. The study focuses on tree detection, biophysical parameter estimation, and crown volume mapping, highlighting applications in urban green space management and ecosystem services. Tools: Python, LiDAR, GIS soft

  • UpdatedOct 18, 2024
  • Python

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

  • UpdatedJul 12, 2022
  • C++

A simple generic k-d tree implementation.

  • UpdatedMay 11, 2021
  • C++

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

  • UpdatedNov 15, 2021
  • C++

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.

  • UpdatedFeb 17, 2023
  • Java

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