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Hi! Welcome to my github page. 👋

I'm Ensar Burak Aytekin.

Mustafa's GitHub Stats

Graduation

Electrical and Electronics Engineering Barchelor's Degree | Hacettepe University

Electronics Engineering Master's Degree | Gebze Technical University

I'm currently working on 🔭

Senior Researcher at TUBITAK

Contact Me 📫

You can find and get touch with me via Linkedin and Instagram!

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eburakaytekin's Projects

aac icon aac

The work aims to implement an Advanced Audio Coding (AAC) encoder/decoder. Variations of the AAC are used by many international standards such as MPEG-2, MPEG-4, H.264 etc.

class icon class

CLASS - A system for automatically revealing (socio-economic) household characteristics from smart meter data.

cluster icon cluster

代码实现所有数据集的K-means,FCM,谱聚类,DBSCAN,AP(AffinityPropagation),DPC聚类算法比较

dbscan icon dbscan

Implementation of DBSCAN clustering algorithm in Matlab

dbscan-1 icon dbscan-1

Implementation of the original DBSCAN algorithm

deeplearntoolbox icon deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

gmm-clustering icon gmm-clustering

Simple visualization of EM algorithm for gaussian mixture model clustering

kmeans-dbscan icon kmeans-dbscan

KMeans and DBSCAN clustering were implemented using MATLAB and also Local outlier factor implementation using python. Attached is the report.

machine-learning-models icon machine-learning-models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

multhyad icon multhyad

Multivariate distributions for hyperspectral anomaly detection based on autoencoder

neondsr icon neondsr

Big data analytics on dataset on hyperspectral images.

statisticalsignalprocessing icon statisticalsignalprocessing

Matlab code implementing different methods used in statistical signal processing; mainly Extended Kalman Filters, LMS/RLS, Wiener, robust regression, MMSE estimators, ML estimators, Hi-Frequency estimators (Pisarenko, MUSIC, ESPRIT)

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