sergulaydore Goto Github PK
Name: Sergul Aydore
Type: User
Company: Amazon Web Services
Bio: Applied Scientist
Location: New York, NY
Name: Sergul Aydore
Type: User
Company: Amazon Web Services
Bio: Applied Scientist
Location: New York, NY
Matlab codes from our Neuroimage paper
Some results and codes of my data science projects I did for fun
Python codes using theano for deep learning algorithms
This repository includes material for the course Engineering Programming: Python at Electrical and Computer Engineering Department of Stevens Institute of Technology in Fall 2019.
Deep Learning course taught in Electrical and Computer Engineering at Stevens Institute of Technology
This repository includes material for the course Engineering Programming: Python at Electrical and Engineering Department of Stevens Institute of Technology in Fall 2018.
Machine Learning Algorithms applied to EEG data from Face Car experiment
Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.
My notes from the book "Learning Spark" by Karau et. al.
Automatically exported from code.google.com/p/metric-learning
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
my project for course EE551
This is a test
A flat design, one page, MIT licensed Bootstrap portfolio theme created by Start Bootstrap
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.
Some main problems and algorithms in prediction analysis
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
My notes from Mark Lutz's comprehensive book "Learning Python"
My notes from Wes McKinney's book "Python for Data Analysis"
This is the implementation of the Recursive Nearest (Neighbor) Agglomeration
scikit-learn: machine learning in Python
Personal Website
Statistical Data Analysis in Python
HDCA codes
Computation using data flow graphs for scalable machine learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.