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zotroneneis / machine_learning_basics

Plain python implementations of basic machine learning algorithms

python machine-learning algorithm neural-network linear-regression machine-learning-algorithms python3 ipynb neural-networks logistic-regression perceptron kmeans k-nearest-neighbours k-nn k-nearest-neighbor python-implementations

Updated Jun 27, 2024
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sisinflab / elliot

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Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

recommendations machine-learning slim keras collaborative-filtering matrix-factorization knowledge-graph vae recommender-system k-nearest-neighbours k-nn content-based-recommendation funksvd deepfm bprmf neural-collaborative-filtering nfm tensorflow2 svdpp

Updated Nov 26, 2024
Python

vioshyvo / mrpt

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Fast and lightweight header-only C++ library (with Python bindings) for approximate nearest neighbor search

nearest-neighbor-search knn-search approximate-nearest-neighbor-search mrpt k-nn similarity-search random-projection

Updated Feb 14, 2020
C++

yell / mnist-challenge

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My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

python machine-learning deep-neural-networks kernel deep-learning neural-network mnist pca logistic-regression rbm gaussian-processes data-augmentation k-nn

Updated Oct 9, 2019
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Nikronic / Machine-Learning-Models

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In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

Updated Nov 7, 2021
Python

anishsingh20 / Statistical-Learning-using-R

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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.

r machine-learning-algorithms statistical-learning datascience data-analysis logistic-regression regularization decision-trees predictive-modeling polynomial-regression clustering-algorithm svm-classifier k-nn boosting generalized-additive-models supervised-machine-learning bagging depth-interpretation discriminant-anlaysis

Updated Apr 7, 2018
R

pragmaticpython / k-nearest-neighbors-python

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An implementation of the K-Nearest Neighbors algorithm from scratch using the Python programming language.

Updated Mar 3, 2019
Python

Aysenuryilmazz / Driver_Drowsiness_Detection

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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: Pe…

computer-vision random-forest scikit-learn naive-bayes-algorithm opencv-python k-nn dlib-face-detection driver-drowsiness

Updated Jan 7, 2023
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bagheri365 / ML-Models-for-Classification

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Tour of Machine Learning Algorithms for Binary/Multiclass Classification

random-forest svm naive-bayes logistic-regression multi-layer-perceptron decision-tree binary-classification k-nn quadratic-discriminant-analysis multiclass-classification voting-classifier linear-svm rbf-svm

Updated Sep 16, 2019
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meowoodie / Dr.k-NN

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A robust classifier for few-training-data problem based on a distributionally robust optimization framework

machine-learning classification k-nn neurips few-training-samples

Updated Sep 23, 2022
Python

mecyc / TFG_RADAR_60GHZ

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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.

python raspberry-pi machine-learning svm radar sensor randomforest k-nearest-neighbours k-nn aprendizaje-automatico auto-sklearn reconocimiento acconeer clasificador tabpfn radarwave

Updated Jan 19, 2023
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ahmadjaved97 / ImageClusterViz

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A tool for clustering images using deep learning features and visualizing the results in organized grids.

computer-vision deep-learning clustering image-processing pytorch feature-extraction deeplearning convolutional-neural-networks image-analysis unsupervised-learning knn hacktoberfest clustering-algorithm kmeans-clustering k-nn datacleaning image-clustering datavisualisation

Updated Nov 13, 2024
Python

PetropoulakisPanagiotis / nearest-neighbor-search

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Nearest neighbor search. Methods: LSH, hypercube, and exhaustive search. C++

machine-learning cplusplus lsh nearest-neighbor-search locality-sensitive-hashing euclidean nearest-neighbors approximate-nearest-neighbor-search cosine hypercube cplusplus-11 k-nn radius-neighbors approximate-nearest-neighbors

Updated Sep 23, 2023
C++

wagner-group / geoadex

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GeoAdEx: A geometric approach for finding minimum-norm adversarial examples on k-NN classifiers

voronoi-diagram k-nn adversarial-machine-learning adversarial-examples adversarial-attacks

Updated Oct 29, 2021
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EtienneLardeur / Streamlit_App

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Web interactive streamlit dashboard for credit scoring interpretation

dashboard lightgbm credit-scoring lime k-nn shap streamlit

Updated Dec 18, 2020
Python

avnCode / Deep-Learning

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PyTorch implementation of following: Transfer Learning, Feature Extraction from deep network, k-NN

pytorch feature-extraction deeplearning transfer-learning k-nn

Updated Feb 11, 2023
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danaluz / AIAlgorithms

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Diverse algorithms related to Machine Learning

python ai machine-learning-algorithms pandas artificial-intelligence k-nn

Updated Sep 3, 2020
MATLAB

GinoAvanzini / fruit-sorter

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A basic fruit sorter using k-means and k-nn.

python scikit-image artificial-intelligence k-means k-nn

Updated Mar 4, 2020
Jupyter Notebook

Sabaudian / Music_Genre_Classification_project

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Audio Pattern Recognition project - Music Genres Classification

python machine-learning neural-network random-forest svm audio-analysis artificial-intelligence music-information-retrieval preprocessing music-genre-classification audio-classification svm-classifier audio-processing k-nearest-neighbours k-nn genre-classification genres-classification random-forest-classification preprocessing-data

Updated Jun 25, 2024
Python

gonzafernan / fruit-classifier

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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 opencv scikit-learn scikit-image python3 artificial-intelligence k-means scikit k-nn kmeans-algorithm knn-classification

Updated Dec 19, 2018
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Here are 97 public repositories matching this topic...

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

mecyc / TFG_RADAR_60GHZ

ahmadjaved97 / ImageClusterViz

PetropoulakisPanagiotis / nearest-neighbor-search

wagner-group / geoadex

EtienneLardeur / Streamlit_App

avnCode / Deep-Learning

danaluz / AIAlgorithms

GinoAvanzini / fruit-sorter

Sabaudian / Music_Genre_Classification_project

gonzafernan / fruit-classifier

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