Simple knn-search from ML based on Java

KNN search implemented by KD-tree and Ball-tree

This project shows how to search texts using KNN-algoritm. The embeded texts are indexed into OpenSearch, and a query is converted into a vector as an input of KNN

Machine learning algorithm implementation with visualization

Reading Recommendation System: This project implements K Nearest Neighbor (kNN) Collaborative Filtering to build a book recommender system based on a publicly available dataset.

Building a Custom Vector Search Engine with Weaviate : The project discusses the architecture of Weaviate, an open-source vector database and provides a tutorial implementation of a custom vector search engine using Weaviate Cloud Service(WCS).

pg based k-nn image search

amableDB - Get Fast Similar Float-Vectors

Cuda implementation of k-nearest neighbor search

elastiknnQueryBuilder

k-Nearest Neighbor Utility

Parallelized Knn search using MPI

A super simple Q&A chat-bot applying vector search

💻Intelligent Recommender System Development for Online FPS Game: Destiny II

KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.

Simple self-balancing Kd-Tree and KNN search library in pure C. Most tree operations are non-recursive, and therefore suited for embedded systems.

class for BallTree data structure

Detecting brute force hacking attempts on AT&T servers

Nearest Neighbour Search with Variables on a Torus