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.

analyze-league-of-legends-matches

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

analyze-reddit-comments-hadoop

bag-of-visual-words_image-classification

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

deep-learning-labs

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

ecommerce-analysis

Analyzing Large eCommerce Data

fatma-moanes

heart-disease-prediction

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

jpeg-compression

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

machine-learning-labs

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

os_scheduler

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

pacman-multi-agent

UC Berkeley CS188 Intro to AI course Project

riot-match-collector

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

ros-maze-solver

spam-detection-pyspark

text-summarizer

Abstractive text summarization using seq2seq deep learning model

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.

udapeople-cicd