Fatma Moanes NourEl-Din (Fatma-Moanes)

Fatma-Moanes

Geek Repo

Company:@adamdotai

Location:Cairo, Egypt

Home Page:https://www.linkedin.com/in/fatma-moanes/

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Fatma Moanes NourEl-Din's repositories

JPEG-compression

This code implements a JPEG encoder and decoder for girl.png image with 8-bit grey scaled pixels

Analyze-League-Of-Legends-Matches

Collected and analyzed around 100k solo/duo ranked matches from Riot Games API

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bag-of-visual-words_image-classification

A python implementation of multi-class image classification using bag of words technique and SVM classifier.

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Deep-Learning-Labs

My implementation for the labs of the Neural Networks and Deep Learning course that I studied at my university, Zewail City.

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ecommerce-analysis

Analyzing Large eCommerce Data

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Heart-Disease-Prediction

A Machine Learning classification project aiming to predict the presence/ absence of heart disease.

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Machine-Learning-Labs

My implementation for the labs of the Machine Learning course that I studied in my university, Zewail City.

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OS_Scheduler

Repository that simulates SRTN, HPF, and RR scheduling algorithms.

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Pacman-Multi-Agent

UC Berkeley CS188 Intro to AI course Project

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Riot-Match-Collector

Collect 1,000 League Of Legends (LOL) matches from Riot Games' API using requests library.

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text-summarizer

Abstractive text summarization using seq2seq deep learning model

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Twitter-Influencers

A program that finds the top 10 Twitter influencers is implemented and deployed on 2 different Cloud Service Providers (CSP)s to compare between them.

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accel-brain-code

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language processing.

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