There are 0 repository under neighbor-search topic.
Python wrapper around C++ utilities for computing neighbors and local geometric features of a point cloud
FAISS library compiled for iOS, macOS, tvOS, watchOS
C++ library for fast computation of neighbor lists in point clouds.
Fast, accurate, fully tested geohashing library for Swift
vectorization of the kd-tree data structure and search algorithm
A Fortran implementation of KD-Tree searching
A Fortran octree implementation
The algorithm helps to automatically arrange high school timetables for students and teachers. This is an algorithm implemented to support the scientific article of graduate student Nguyen Ho Thien Dang and Ph.D. Phan Tan Quoc.
Real-time fluid simulation using smoothed particle hydrodynamics (SPH) by taking advantage of GPU hardware ray tracing for particle neighbor search.
TSP applied in maps of The Legend of Zelda: BOTW.
Octree construction on GPUs based on Hilbert curves
Crime Database which shows a walkthrough of the Criminal Activities that happened around Your Neighborhood in the past. Also a safety application for women with SOS Feature, Exit, Action Plans when Stuck in a Situation using AI
This repository contains multiple solutions for the knapsack-problem.
Leverage computer vision with YOLO and Roboflow to implement clothing recognition and develop a recommendation app for outfit suggestions.
quitefastmst: Euclidean and Mutual Reachability Minimum Spanning Trees
DataPilot is a web app for visualizing 3D data using K-means and Nearest Neighbor algorithms. Built with Streamlit, it features from-scratch Python implementations and interactive 3D plots with Plotly.
Extremely Simple Neighbor Particle Search Tree
A social community site built using Laravel to connect neighbours. It allows people to chat, buy and sell their stuff
A repo to store Miscellaneous code and snippets.
Simulation Tools and Techniques - Project - Traveling Umpire Problem
Finding geographical neighbors of neighbors fast
Высокопроизводительная система приближенного поиска ближайших соседей с использованием комбинированного подхода FastLSH, roLSH и Product Quantization.