There are 3 repositories under k-nearest-neighbors topic.
🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .
Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data
Learning to create Machine Learning Algorithms
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.
Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression
Machine Learning Algorithms on NSL-KDD dataset
Interactive K-Nearest Neighbors machine learning algorithm in JavaScript.
GloVe word vector embedding experiments (similar to Word2Vec)
Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine
Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work
Segmentation and Identification of Vertebrae in CT Scans using CNN, k-means Clustering and k-NN
A general purpose text classifier
Rcpp bindings for the approximate nearest neighbors library hnswlib
Time Series Forecasting of Walmart Sales Data using Deep Learning and Machine Learning
Model-Free-Episodic-Control implementation.
Being able to perform gameplay analysis of NBA players, NBA Predictive Analytics is a basketball coach's new best friend.
Predicting Baseball Statistics: Classification and Regression Applications in Python Using scikit-learn and TensorFlow-Keras
OpenCV-Python Tutorials
knn with cosine similarity (distance)
A GPU (CUDA) implementation, with a python interface, of the approximated KNN graph computation with Random Sample Forest algorithm KNN.
This repo contains the assignment and quiz solutions of Natural Language Processing Specialization, offered on Coursera.
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
A C++ iteration of PyNNDescent.
This repository is a related to all about Natural Langauge Processing - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python)
This project consists of implementations of several kNN algorithms for road networks (aka finding nearest points of interest) and the experimental framework to compare them from a research paper published in PVLDB 2016. You can use it to add new methods and/or queries or reproduce our experimental results.
Recommendation System sever for Projectube developed by insource team of VietCode company using K-nearest neighbors and cosine similarity algorithms