sergulaydore Goto Github PK

2020

a-note-on-the-phase-locking-value-and-its-properties

Matlab codes from our Neuroimage paper

algorithms

datascienceprojects

Some results and codes of my data science projects I did for fun

deep-learning

Python codes using theano for deep learning algorithms

ee-551-fall-2019

This repository includes material for the course Engineering Programming: Python at Electrical and Computer Engineering Department of Stevens Institute of Technology in Fall 2019.

ee-628-spring-2020

Deep Learning course taught in Electrical and Computer Engineering at Stevens Institute of Technology

ee551a_fall_2018

This repository includes material for the course Engineering Programming: Python at Electrical and Engineering Department of Stevens Institute of Technology in Fall 2018.

face-car-analysis

Machine Learning Algorithms applied to EEG data from Face Car experiment

feature-grouping-regularizer

Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.

fun_stuff

learningspark

My notes from the book "Learning Spark" by Karau et. al.

metric-learning

Automatically exported from code.google.com/p/metric-learning

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

myee551project

my project for course EE551

mynewrepository

This is a test

mywebsite

A flat design, one page, MIT licensed Bootstrap portfolio theme created by Start Bootstrap

nmfwatermarking

Watermarking is designed to protect intellectual property of a digital media. We propose a method for semi-blind watermarking by introducing a novel rank reduction technique ``modified Non-Negative Matrix Factorization (NMF)'' for secure and robust watermarking. The main idea of the study is applying ``modified NMF'' algorithm to pseudo-randomly selected rectangles of the images. Our experiments show that our approach is able to detect watermark of an attacked image with rotation up to certain degrees invisible to the human's eye.

prediction_analysis

Some main problems and algorithms in prediction analysis

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

python-basics

My notes from Mark Lutz's comprehensive book "Learning Python"

python_for_data_analysis

My notes from Wes McKinney's book "Python for Data Analysis"

rena

This is the implementation of the Recursive Nearest (Neighbor) Agglomeration

scikit-learn

scikit-learn: machine learning in Python

sergulaydore.github.io

Personal Website

statistical-analysis-python-tutorial

Statistical Data Analysis in Python

statistical_analysis_in_python

strum_data

HDCA codes

tensorflow

Computation using data flow graphs for scalable machine learning

thinkbayes