Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
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Updated
Mar 15, 2017 - C++
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
kNN implementation with Message Passing Interface (OpenMPI)
Classificação de nódulos mamarios com KNN
Simple implementation of the K-Nearest Neighbour algorithm
A parallel implementation of the well-known data mining algorithm KNN in C++.
Algorithms in C++ 🚀
A toolkit of machine learning algorithms.
Min-𝜖 Cosine 𝑘-Nearest Neighbor Graph Construction using Inverted Index Algorithm for CMPE255 Extra Credit Project at SJSU
Pyreclab is a library for quickly testing and prototyping of traditional recommender system methods, such as User KNN, Item KNN and FunkSVD Collaborative Filtering. It is developed and maintained by Gabriel Sepúlveda and Vicente Domínguez, advised by Prof. Denis Parra, all of them in Computer Science Department at PUC Chile, GRIMA Lab and SocVis…
Implementation of the The k-nearest neighbors (KNN) algorithm. A machine learning algorithm that can be used to solve both classification and regression problems.
Implementation of object detection using contour detection and feature matching using KNN in photos and videos using C++
This is a weekly task for GIK research program (ML topics)
This repository contains a collection of machine learning and deep learning algorithms I implemented from scratch using Python and C++.
Handwritten digit recognition implemented in c++ without libraries
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