Ahmed M. Profile

5,0

(32 omdömen)

Du följer nu

Fel vid följande av användare.

Den här användaren tillåter inte att andra användare följer dem.

Du följer redan den här användaren.

Din medlemskapsplan låter dig endast följa 0 användare. Uppgradera här.

Du har avföljt

Fel vid sluta följa användare.

Du har nu rekommenderat

Fel vid rekommendation vid användare.

Något gick fel. Var god uppdatera sidan och försök igen.

Email verifierad.

$35 USD /timme

cairo,

egypt

$35 USD /timme

Datum, tid och plats: 10:48 em

Gick med maj 29, 2014

2 Rekommendationer

Ahmed M.

@AhmedMostafa2

5,0

(32 omdömen)

6,3

85%

$35 USD /timme

cairo,

egypt

$35 USD /timme

100 %

Slutförda jobb

100 %

Inom budget

93 %

Inom tid

20 %

Återanställningsgrad

Python || Machine Learning || Data Science Expert

A data scientist and python software developer with more than 4 years of experience in implementing machine learning models, dealing with big data frameworks and crawling/scraping the web for data

Visa alla Python Developers i Egypt

Kontakta Ahmed M. om ditt uppdrag

Logga in för att diskutera detaljer i chatten.

Portfolio

Automatic correction of MCQ exam papers implemented in MATLAB.

MATLAB MCQ Exam Corrector

A project that uses user's brain signals to control a computer, implemented in PyQT.
The project uses Steady State Visually Evoked Potential (SSVEP) to implement an on-screen assistive keyboard. SSVEP are signals that are natural responses to visual stimulation at specific frequencies. When the retina is excited by a visual stimulus, the brain generates electrical activity at the same (or multiples of) frequency of the visual stimulus. By flashing a finite set of areas on the screen, one can determine which area was of interest to the user by comparing the frequency of the brain’s electrical activity, and hence use it for taking an action (e.g. keyboard character selection). The keyboard's efficiency is improved using the autocomplete feature. The system is also able to predict the user's intent using a Natural Language Processing (NLP) technique and feeding the result to a customizable set of bots that assist the user.
Video Demo: https://www.youtube.com/watch?v=yBker7B0X1A

BrainBots: A Brain-controlled On-screen Assistive Keyboard

5868631

GraphSAGE: Inductive Representation Learning on Large Graphs

MATLAB MCQ Exam Corrector

BrainBots: A Brain-controlled On-screen Assistive Keyboard

5868631

GraphSAGE: Inductive Representation Learning on Large Graphs

Recensioner

Ändringar sparade

Visar 1 - 5 av 31 omdömen

Filtrera omdömen efter:

5,0

$134,69 USD

Python program

very happy to work with ahmed

Python

Software Architecture

Statistics

Machine Learning (ML)

Software Development

+3 till

Closed User

@sharonarnoldj2

•

ett år sedan

5,0

€200,00 EUR

Telegram bot for pinned messages

Ahmed did an impeccable job. He made the necessary changes quickly, highlighting availability and efficiency. I will certainly continue to rely on him in the future for other projects.

PHP

Python

Software Architecture

Programming

Telegram API

Mario S.

@scarmaf

•

ett år sedan

5,0

$50,00 USD

Develop simple python script

the guy genius, very very very fast and very talented, highly recommended A++++++++++ i will work wilth him again and again in the near future :)

Khaled B.

@kaledbenali

•

ett år sedan

4,6

$281,06 USD

Project for Ahmed M. -- 7

thanks for all your assistance

Python

Algorithm

Web Scraping

Machine Learning (ML)

Data Mining

+1 till

Alwyn L.

@alwynlabus123

•

tre år sedan

5,0

$500,00 USD

Indexing the Words in Business Names

We've used Ahmed three times now and he does an amazing job every time! He asks good questions and helped us clarify the project. He is amazing with Big Data and makes it look easy. He went above and beyond when we realized we needed to adjust something and we will continue to use him. He's the best example of Freelancer Excellence.

Python

Data Processing

Bill Q.

@tollfreenumbers

•

tre år sedan

Publikationer

Comparative Study of Visual Question Answering Algorithms

IEEE

In this study, we compare the performance of state of the art VQA algorithms on different VQA benchmarks. Each benchmark is more effective at testing VQA algorithms on different levels. Some datasets challenge the algorithms to perform complex reasoning steps to arrive to an answer. Other datasets might challenge algorithms to retrieve external world knowledge to answer the posed questions. We categorize the algorithms by their main contributions into 4 categories.