k-nn

There are 4 repositories under k-nn topic.

zotroneneis / machine_learning_basics
Plain python implementations of basic machine learning algorithms
algorithm ipynb k-nearest-neighbor k-nearest-neighbours k-nn kmeans linear-regression logistic-regression machine-learning machine-learning-algorithms neural-network neural-networks perceptron python python-implementations python3
Language:Jupyter Notebook 4205
sisinflab / elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
recommender-system machine-learning collaborative-filtering content-based-recommendation bprmf matrix-factorization vae svdpp funksvd slim neural-collaborative-filtering k-nn k-nearest-neighbours nfm knowledge-graph recommendations tensorflow2 keras deepfm
Language:Python 265
vioshyvo / mrpt
Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search
approximate-nearest-neighbor-search k-nn knn-search mrpt nearest-neighbor-search random-projection similarity-search
Language:C++ 253
yell / mnist-challenge
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
data-augmentation deep-learning deep-neural-networks gaussian-processes k-nn kernel logistic-regression machine-learning mnist neural-network pca python rbm
Language:Jupyter Notebook 70
Nikronic / Machine-Learning-Models
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
reinforcement-learning nlp-machine-learning pca apriori eclat upper-confidence-bound thompson-sampling lda kernel-pca xgboost linear-regression support-vector-regression logistic-regression k-nn svm naive-bayes random-forest decision-tree ann cnn
Language:Python 31
anishsingh20 / Statistical-Learning-using-R
This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.
datascience statistical-learning r data-analysis depth-interpretation machine-learning-algorithms predictive-modeling polynomial-regression k-nn boosting bagging generalized-additive-models discriminant-anlaysis decision-trees svm-classifier logistic-regression supervised-machine-learning regularization clustering-algorithm
Language:R 30
pragmaticpython / k-nearest-neighbors-python
An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.
k-nearest-neighbours k-nearest-neighbors k-nearest-neighbor knn knearest-neighbor-algorithm knearest-neighbors knearest-neighbor-classifier knearest-neighbors-classifier knearest-neighbor-classification k-nn k-nearest-neighbors-k-nn knn-classification knn-classifier knn-algorithm knn-model machine-learning python python3 machinelearning machine-learning-algorithms
Language:Python 10
Aysenuryilmazz / Driver_Drowsiness_Detection
Driver drowsiness is one of the causes of traffic accidents. According to the statistics; highway road crashes hold 11.09% of the total number of accidents. There are several reasons of drowsy driving such as: a lack of quality of sleep, may be overnight driving or having sleep disorders e.g. sleep apnea. However; all people should know that: People can not fight against to sleep. Using Image Processing and both classical and new-brand Machine Learning techniques, we are trying to know beforehand the driver's drowsiness and warning him/her with an alert before any crash happened.
driver-drowsiness computer-vision k-nn naive-bayes-algorithm random-forest opencv-python scikit-learn dlib-face-detection
Language:Jupyter Notebook 8
bagheri365 / ML-Models-for-Classification
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
binary-classification multiclass-classification logistic-regression k-nn naive-bayes svm linear-svm rbf-svm decision-tree random-forest quadratic-discriminant-analysis voting-classifier multi-layer-perceptron
Language:Jupyter Notebook 7
meowoodie / Dr.k-NN
A robust classifier for few-training-data problem based on a distributionally robust optimization framework
classification k-nn machine-learning few-training-samples neurips
Language:Python 7
PetropoulakisPanagiotis / nearest-neighbor-search
Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++
lsh euclidean cosine hypercube nearest-neighbor-search radius-neighbors locality-sensitive-hashing nearest-neighbors machine-learning cplusplus-11 k-nn cplusplus approximate-nearest-neighbor-search approximate-nearest-neighbors
Language:C++ 7
mecyc / TFG_RADAR_60GHZ
TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.
radar acconeer sensor aprendizaje-automatico auto-sklearn clasificador k-nearest-neighbours k-nn machine-learning python randomforest reconocimiento svm tabpfn raspberry-pi radarwave
Language:Jupyter Notebook 6
wagner-group / geoadex
GeoAdEx: A geometric approach for finding minimum-norm adversarial examples on k-NN classifiers
k-nn voronoi-diagram adversarial-attacks adversarial-machine-learning adversarial-examples
Language:Jupyter Notebook 5
avnCode / Deep-Learning
PyTorch implementation of following: Transfer Learning, Feature Extraction from deep network, k-NN
deeplearning feature-extraction k-nn pytorch transfer-learning
Language:Jupyter Notebook 3
danaluz / AIAlgorithms
Diverse algorithms related to Machine Learning
ai artificial-intelligence k-nn machine-learning-algorithms python pandas
Language:MATLAB 3
EtienneLardeur / Streamlit_App
Web interactive streamlit dashboard for credit scoring interpretation
streamlit dashboard shap credit-scoring lightgbm lime k-nn
Language:Python 3
GinoAvanzini / fruit-sorter
A basic fruit sorter using k-means and k-nn.
python artificial-intelligence k-means k-nn scikit-image
Language:Jupyter Notebook 3
ahujaya / Classification-Model-for-Airbnb-AI-RapidMiner
Gained insights into the New York City Airbnb rental properties and concluded the neighbourhoods with most attractive Airbnb rentals and the type of rental properties with most reviews. Furthermore, concluded the economic viability of the rentals with missing reviews through machine learning models such as k-NN, decision tree and gradient boosted tree (GBT) classifiers implemented via data science platform RapidMiner.
machine-learning classification k-nn decision-trees gradient-boosted-trees rapidminer
2
ankhanhquach / Universal_Banking_Loan_Prediction_kNN
This machine learning initiative seeks to leverage the k-Nearest Neighbors (k-NN) classification algorithm to predict whether a Universal Bank will accept a personal loan offer.
r k-nn machine-learning
Language:R 2
farahsamat / classic-machine-learning
Using classic machine learning models - K-NN, Multiclass Logistic Regression, SVM and Random Forest to make predictions
machine-learning prediction random-forest svm k-nearest-neighbours k-nn multiclass-logistic-regression
Language:Jupyter Notebook 2
gonzafernan / fruit-classifier
Clasificador de imagenes de bananas, naranjas y limones por medio de algoritmos de aprendizaje K-nn y K-means. Procesado de imágenes con SciKit y OpenCV.
python python3 scikit-learn scikit-image scikit knn-classification kmeans-algorithm k-means k-nn opencv artificial-intelligence
Language:Jupyter Notebook 2
vt2211 / Voice-Controlled-Car
Built a voice-controlled car from scratch incorporating machine learning methods such as the Euclidean Classifier and k-NN Classifier, open and closed loop feedback control systems, principal component analysis, regression analysis, and transient analysis
closed-loop-control control-systems discretization filters frequency-response least-squares machine-learning pca regression-analysis stability svd system-identification classification k-nearest-neighbours k-nn
Language:Jupyter Notebook 2
alirezarahimi1393 / Classical-Learning
Welcome to my Classical Learning Projects repository, where I showcase my work in the fields of supervised and unsupervised learning. Here, you'll find code and datasets for various projects, such as classification and clustering tasks, implemented using popular algorithms like decision trees, neural networks, and k-means.
decision-trees k-nn logistic-regression naive-bayes-classifier svm-classifier linear-regression polynomial-regression ridge-regression agglomerative-clustering apriori dbscan-clustering fp-growth fuzzycmeans k-means-clustering lda mean-shift pca svd t-sne
Language:Jupyter Notebook 1
anishchapagain / DataScience
Data Science, Algorithms, Notes, Learn
datascience algorithms k-nn regression graphs decision learning reference
Language:Jupyter Notebook 1
KNN-Algorithm
Ayoub-etoullali / KNN-Algorithm
KNN Is A Machine Learning Algorithm For Pattern Recognition That Finds The Nearest K Observations To Predict A Target.
k-nearest-neighbors k-nearest-neighbors-algorithm k-nearest-neighbors-k-nn k-nn knn knn-algorithm knn-classification knn-model knn-regression knn-search machine-learning machine-learning-algorithms machine-learning-library machinelearning machinelearning-python nearest-neighbor-search pattern-recognition python
Language:C 1
BrenoFariasdaSilva / Simpsons-Family-Recognizer
Simpsons Members Recognizer Supervised Machine Learning Algorithm.
artificial-intelligence k-nn python dataset supervised-learning decision-tree-classifier k-nearest-neighbor-classifier multilayer-perceptron-network random-forest-classifier support-vector-machine-classifier
Language:Python 1
bunji2 / knn
Sample of k-NN (K-Nearest Neighbor algorithm) by GoLang
golang k-nn
Language:Go 1
Eyal-Bahar / Learning-ML-projects
Machine Learning tasks and mini projects based on my learning in a Datascience bootcamp in Udemy
random-forest k-nn logistic-regression clustering recommendation-system nlp-machine-learning classification machine-learning data-science
Language:Python 1
stock_data_knn
leeyunbo / stock_data_knn
KNN을 이용한 주가 데이터 분류
k-nn
Language:Python 1
matankleiner / Identify-Known-Sites-in-Photo-Album
Classify known sites from around the world, given challenging and very big data set. This project is based on a kaggle competition.
machine-learning image-classification kaggle google-landmark-recognition python3 pytorch yolov3 open-images-dataset k-nn efficientnet radam object-detection computer-vision feature-extraction yolov4
Language:Jupyter Notebook 1
Mikel-UA / BigData_Analysis_BreastCancer
BigData Analysis - Breast Cancer Wisconsin Dataset (R, PCA, Machine Learning, ggplot2, dplyr): Exploring Kaggle's 'Breast Cancer Wisconsin (Original)' dataset. Objective: Develop a classification algorithm for benign/malignant tumor detection using PCA for dimensionality reduction and k-NN for classification. Achieved over 95% data retention.
big-data machine-learning pca-analysis python r k-nn dplyr ggplot2
1
mikhail-kukuyev / ML-Course
Solved tasks of "Machine Learning" course, contains implementations of main machine learning algorithms.
machine-learning adaboost viola-jones haar-features linear-regression ridge-regression face-recognition gradient-descent-implementation k-nn k-fold svm libsvm liblinear pca-implementation stochastic-gradient-descent adaptive-algorithm
Language:Jupyter Notebook 1
Sabaudian / Music_Genre_Classification_project
Audio Pattern Recognition project - Music Genre Classification
audio-analysis audio-classification audio-processing genre-classification genres-classification k-nearest-neighbours k-nn music-genre-classification music-information-retrieval neural-network preprocessing preprocessing-data python random-forest random-forest-classification svm svm-classifier artificial-intelligence machine-learning
Language:Python 1
ssamkough / mlad-research
I am partaking in research with my professor Dr. Boxiang Dong at Montclair State University in using deep learning techniques for anomaly detection. This project is to help with that research, specifically in implementing Machine Learning classifiers and more.
machine-learning k-nn random-forest deep-learning
Language:Python 1
SummerSnowWinterCat / CAPTCHA_Identify
a machine learning training project
python k-nn captcha
Language:Python 1
wonsu0513 / SmartCane
CNIT 581-ATR Fall 2017 – Smart Cane Team: Wonse Jo and Shyam Sundar Kannan
stm32f4-discovery arm dsp sound-recognition fft stft assistive-robotics assistive-technology k-nn k-nearest-neighbours
Language:C 1

k-nn

zotroneneis / machine_learning_basics

sisinflab / elliot

vioshyvo / mrpt

yell / mnist-challenge

Nikronic / Machine-Learning-Models

anishsingh20 / Statistical-Learning-using-R

pragmaticpython / k-nearest-neighbors-python

Aysenuryilmazz / Driver_Drowsiness_Detection

bagheri365 / ML-Models-for-Classification

meowoodie / Dr.k-NN

PetropoulakisPanagiotis / nearest-neighbor-search

mecyc / TFG_RADAR_60GHZ

wagner-group / geoadex

avnCode / Deep-Learning

danaluz / AIAlgorithms

EtienneLardeur / Streamlit_App

GinoAvanzini / fruit-sorter

ahujaya / Classification-Model-for-Airbnb-AI-RapidMiner

ankhanhquach / Universal_Banking_Loan_Prediction_kNN

farahsamat / classic-machine-learning

gonzafernan / fruit-classifier

vt2211 / Voice-Controlled-Car

alirezarahimi1393 / Classical-Learning

anishchapagain / DataScience

Ayoub-etoullali / KNN-Algorithm

BrenoFariasdaSilva / Simpsons-Family-Recognizer

bunji2 / knn

Eyal-Bahar / Learning-ML-projects

leeyunbo / stock_data_knn

matankleiner / Identify-Known-Sites-in-Photo-Album

Mikel-UA / BigData_Analysis_BreastCancer

mikhail-kukuyev / ML-Course

Sabaudian / Music_Genre_Classification_project

ssamkough / mlad-research

SummerSnowWinterCat / CAPTCHA_Identify

wonsu0513 / SmartCane