A collection of GTSAM factors and optimizers for point cloud SLAM

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

A Rust crate and Python library for packed, immutable, zero-copy spatial indexes.

Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.

A k-d tree implementation in Go.

Probably the fastest C++ dbscan library.

LiDAR processing ROS2. Segmentation: "Fast Ground Segmentation for 3D LiDAR Point Cloud Based on Jump-Convolution-Process". Clustering: "Curved-Voxel Clustering for Accurate Segmentation of 3D LiDAR Point Clouds with Real-Time Performance".

A Julia package for downloading and analysing geospatial data from OpenStreetMap APIs.

Golang k-D tree implementation with duplicate coordinate support

A C++ header only library for fast nearest neighbor and range searches using a KdTree. It supports interfacing with Eigen, OpenCV, and custom data types and provides optional Python bindings.

generic DBSCAN on CPU & GPU

Unofficial python wrapper to the nanoflann k-d tree

A Fortran implementation of KD-Tree searching

Implementations of different algorithms for building Euclidean minimum spanning tree in k-dimensional space.

Hybrid Spatial Data Structure based on Quad Tree, R Tree and KD Tree for insertion, search and finding the nearest neighbours on a 2D plane

Golang Utilities for Data Analysis

A fast and efficient way to find the nearest neighbours using Kd-Tree Data structure in Unity3D.

Fortran bindings to the FLANN library for performing fast approximate nearest neighbor searches in high dimensional spaces.

a super lightweight head-only 3d kdtree library based on nanoflann

Collision detection for 3D shapes. Axis-aligned bounding boxes (AABB).

Rust implementation of k-d tree to efficiently perform color quantization to predefined sets

Simple kdtree library in erlang

Rust-based 3D point cloud alignment

Point Cloud processing (VoxelGrid Downsampling, RANSAC Segmentation, KDTree Euclidean Clustering) for obstacle detection for autonomous vehicles.

Build content-based image retrieval system using deep learning, applied some large scale similarity search technicals like Kdtree, LSH, Faiss.

Kdtree implementation in rust for raytracer

Sensor Fusion Nanodegree (Udacity) Projects.

Built-in solvers for the GeoStats.jl framework

A WebGL2 fragment shader based raytracer

Locally weighted regression solver for the GeoStats.jl framework