90 Open source projects that are alternatives of or similar to knn-cpp

Unofficial python wrapper to the nanoflann k-d tree

Collections of vector search related libraries, service and research papers

libkdtree++ is an STL-like C++ template container implementation of k-dimensional space sorting, using a kd-tree. It sports a theoretically unlimited number of dimensions, and can store any data structure. Fork of the project once available from http://libkdtree.alioth.debian.org/

Automatic license plate recognition for Indonesian plate (White on black)

A scalable nearest neighbor search library in Apache Spark

Fast search algorithm for product-quantized codes via hash-tables

Machine Learning for Spot Prices

To identify the driver's drowsiness based on real-time camera image and image processing techniques. 졸음운전 감지 시스템. OpenCV

Python Clustering Algorithms

Fast Approximate Nearest Neighbor (ANN) searches with a PostgreSQL database.

Source Code for KNN Matting, CVPR 2012 / TPAMI 2013. MATLAB code ready to run. Simple and robust implementation under 40 lines.

Nearest neighbor search for Rails and Postgres

Building Annoy Index on Apache Spark

Mobile(iOS) Text-to-Image search powered by multimodal semantic representation models(e.g., OpenAI's CLIP). Accepted at NAACL 2022.

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

annoy-rb provides Ruby bindings for the Annoy (Approximate Nearest Neighbors Oh Yeah).

A Python package for hubness analysis and high-dimensional data mining

LSH index for approximate set containment search

Open source library for scientific HPC

This repository provides implementation of an incremental k-d tree for robotic applications.

Some useful tips for faiss

No description or website provided.

Elasticsearch plugin for nearest neighbor search. Store vectors and run similarity search using exact and approximate algorithms.

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

gann(go-approximate-nearest-neighbor) is a library for Approximate Nearest Neighbor Search written in Go

vektonn.github.io/vektonn

GGNN: State of the Art Graph-based GPU Nearest Neighbor Search

✏️ Pointillisme tool based on Weighted Voronoi Stippling

Web服务：使用腾讯 800 万词向量模型和 spotify annoy 引擎得到相似关键词

Fast k-Nearest Neighbors Classifier for Large Datasets

Comparison of active site and full kinase sequences for drug-target affinity prediction and molecular generation. Full paper: https://pubs.acs.org/doi/10.1021/acs.jcim.1c00889

K-dimensional tree in Rust for fast geospatial indexing and lookup

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently t…

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

Quick ADC

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

UE4 Plugin: k-d tree

A document covering machine learning basics. 🤖📊

Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

High Dimensional Approximate Near(est) Neighbor

A Java library implementing practical nearest neighbour search algorithm for multidimensional vectors that operates in sublinear time. It implements Locality-sensitive Hashing (LSH) and multi index hashing for hamming space.

An Interactive Approach to Understanding Supervised Learning Algorithms

Vald. A Highly Scalable Distributed Vector Search Engine

Official code for "Mean Shift for Self-Supervised Learning"

Pure python implementation of product quantization for nearest neighbor search

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

A machine learning exercise, using KNN to classify deforested areas

📝Awesome and classical image retrieval papers

Fast and memory-efficient ANN with a subset-search functionality

Animated Visualizations of Popular Machine Learning Algorithms

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

Code for my PhD thesis. Library of quantization-based methods for fast similarity search in high dimensions. Presented at ECCV 18.

A node.js add-on for performing efficient Nearest Neighbor searches using libkdtree.

Kernel k Nearest Neighbors in R

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

C library for finding nearest (most similar) element in a set

A fast, offline, reverse geocoder

OCR Machine Learning in python