k-d-tree
There are 18 repositories under k-d-tree topic.
tantaraio/voy
🕸️🦀 A WASM vector similarity search written in Rust
thegeekyasian/geo-assist
Geo Assist is a spatial library to manage spatial data in-memory.
roblesch/bevy_spatial_boids
K-D Tree Boids on Bevy
lukablagoje/the-impact-of-physicality-on-network-structure
Data and algorithms used in empirical contribution of the research project "The Impact of Physicality on Network Structure".
tataratat/napf
nanoflann wrapper for python and maybe fortran
armeehn/no-collision-transportation-maps
This is the public repository for the "No-collision Transportation Maps" paper.
dirac-institute/hybrid_sso_catalogue
A package for creating hybrid solar system catalogues for making LSST predictions
fotioudim/SOAP_Geolocation
Java WSDL-based SOAP web service with Springboot (Spring-WS, Contract first) and nearest neighbor search
kokostek/kdtree
Header-only C++ K-d tree library
dirckvdende/competition-reference
A reference document that can be used in programming competitions
is0xjh25/kd-tree-searching
By applying K-D trees data structure, the program would do the map search based on provided x and y coordinates.
Ahmed-Elgohary1/KD-tree
a specific data structure for efficiently representing our data. In particular, KD-trees helps organize and partition the data points based on specific conditions.💥🦄
Ahmed-Elgohary1/Ze-partner
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.
mumbleskates/cashmere
rust k-d tree implementation, and a pure-rust colordeposit as an example/benchmark
orxshi/kdt
A balanced k-d tree which can partition three-dimensional space to organize/insert objects. Search operation is also available.
SurajDhulipalla23/NotUber
Graph Algorithms for an Uber like project
GerardMT/K-D-Tree
A simple generic k-d tree implementation.
JonathanCen/Parallelize-k-Nearest-Neighbors-Search
Parallelize constructing k-D tree and performing k-NN using a thread pool