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.
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.
Unofficial python wrapper to the nanoflann k-d tree
generic DBSCAN on CPU & GPU
A portable and efficient library of spatial indexes in C++ including R-tree, Quad-Tree, and KD-Tree variants.
A Fortran implementation of KD-Tree searching
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
Implementations of different algorithms for building Euclidean minimum spanning tree in k-dimensional space.
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.
Rust implementation of k-d tree to efficiently perform color quantization to predefined sets
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