C++ implementation for machine learning algorithm K-NN

Fast Adaptive Similarity Search through Variance‑Aware Quantization

Machine learning library for classification tasks

A lightweight, customizable chatbot for Telegram running on an ESP32 microcontroller. It's optimized for low-resource environments and embedded systems projects.

Plain | Filtered | Stiched Vamana

Movie Recommendation System based on K-nearest neighbours accelerated using GPU

KNN Core for Heart Disease Diagnosis in C++

K-Nearest Neighbors (KNN) is a supervised learning algorithm commonly used for classification and regression tasks. In this implementation, the algorithm is adapted to cluster a set of data points into predefined groups by iteratively refining group averages until convergence.

a zkp of knn using libsnark

The PoseTree container is a data structure designed to efficiently perform K-NNS of poses. Especially poses where the orientation is given by Euler angles. Heavily based on the work of [@attcs] and their Octree library.

a specific data structure for efficiently representing our data. In particular, KD-trees helps organize and partition the data points based on specific conditions.💥🦄

Implementation of the The k-nearest neighbors (KNN) algorithm. A machine learning algorithm that can be used to solve both classification and regression problems.

KNN problem in Celestial Coordinates System & Angular Distance Metrics

Header-only C++/python library for fast approximate nearest neighbors using HSIG

Rtree building and query processing

C++ Project - KNN Algorithm Implementation

A hybrid approach to improving a collaborative filtering based movie recommendation system's performance using kNN & genetic algorithm.