libnabo
KNN library
A fast K Nearest Neighbor library for low-dimensional spaces
A fast K Nearest Neighbor library for low-dimensional spaces
447 stars
39 watching
145 forks
Language: C++
last commit: 6 months ago Related projects:
Repository | Description | Stars |
---|---|---|
jlblancoc/nanoflann | A C++ library for efficient nearest neighbor search with KD-trees | 2,243 |
michaeldorman/nngeo | An R library providing spatial data join capabilities using the k-nearest neighbor algorithm | 79 |
johnstonskj/rml-knn | An implementation of a k-Nearest Neighbor algorithm for classification in Racket. | 1 |
felipexw/knn-java-library | An implementation of a K-Nearest Neighbor algorithm for supervised learning | 7 |
stefanengblom/stenglib | A collection of Matlab libraries for efficient and flexible numerical computations. | 57 |
kristofferc/nearestneighbors.jl | A Julia package for efficient nearest neighbor searches in high-dimensional spaces | 426 |
asbaker/racket-knn | An implementation of the K Nearest Neighbors algorithm using Scheme and Racket | 16 |
jjjkkkjjj/matft | A Numpy-like library in Swift for multi-dimensional array and matrix operations | 133 |
zueve/neurolab | A Python library for building and training neural networks. | 163 |
yoshoku/hnswlib.rb | Provides Ruby bindings for a C++ library implementing approximate nearest neighbor search | 15 |
anoopkunchukuttan/indic_nlp_library | A Python-based library providing common text processing and Natural Language Processing tools for Indian languages | 556 |
reddavis/knn | An implementation of the K Nearest Neighbour algorithm in Ruby, allowing users to query a dataset and retrieve the k most similar data points based on various distance measurements. | 37 |
attractivechaos/kann | A lightweight C library for constructing and training small to medium neural networks with customizable architecture | 686 |
ankane/ngt-ruby | A high-performance approximate nearest neighbors search library for Ruby | 50 |
nikolaypavlov/mlpneuralnet | A fast neural network library for iOS and Mac OS X with vectorized operations and hardware acceleration. | 900 |