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Name: AmrElzawawy

Type: User

Bio: An enthusiastic software engineer, self-learner, challenge seeker, book worm, writer and in love with sharing knowledge, technology and sometimes cooking.

Twitter: zawawy__

Location: Alexandria, Egypt

Blog: https://www.linkedin.com/in/elzawawy/

AmrElzawawy's Projects

acm-android-course

Resources for Android Crash Course "X-Course: Android", developed during my short time working as an Android Instructor at ACM Alexandria Student Chapter.

alexandria-university-cce-handbook

Everything you wish you knew earlier as a Student of CS/Software Engineering

atmega32-drivers

AVR Atmega32 micro-controller's multiple peripheral and module software drivers implementation in C.

awesome-coronavirus

🦠 Huge collection of useful projects and resources for COVID-19 (2019 novel Coronavirus)

campaign-flask-api

Simple Restful Flask API (Python) for campaigns.

cnnh

CNNH (Computer Networking Nutshell Handbook) is a Computer Networks handbook summary for software engineers based on the famous book "Kurose and Ross's Computer Networking: A Top-Down Approach" .

compiler-frontend

First two front-end phases of a language-independent compiler implemented in C++

covid-case-estimator

A daily and total number of cases by country estimators for the COVID-19 crisis in hopes to help the community survive this pandemic.

Official Contribution for DeftEval 2020, Task 6 Subtask 1 from SemEval 2020 Competition. Solving NLP problem of "extracting term-definition pairs in free text" in multiple approaches ranging from highly simple till very complex modern ones.

eight-puzzle-solver

An 8-puzzle game solver implementation in Python, uses informed and uninformed search algorithms and is extensible to be used on an N-Puzzle game.

facerecoginition

This is an assignment for Pattern Recognition Course taught at Alexandria University, Faculty of Engineering offered in Spring 2019. It is a Face Recognition assignment using 2 different techniques: PCA and LDA. The 2 approaches results is then compared and the README provides about our conclusion about it.

graph-algorithms

A C++ implementation of famous graph-based algorithms.

hadoop-word-count

A simple MapReduce and Hadoop application to count words in a document ,implemented in Java to get a flavor for how they work.

hashcode-book-scanning

Official contribution for "Book Scanning" Problem for the Online Qualification Round of Google's Hash Code 2020.

hotel-broker

A Node.js & SQL web-based application for hotel reservation, that acts a broker between hotels and customers.

huffman-coding-zipper

A "Huffman Coding" algorithm-based application written in C++ to compress/decompress any type of files.

imagesegmentation

This is an assignment for Pattern Recognition Course taught at Alexandria University, Faculty of Engineering offered in Spring 2019. We intend to perform image segmentation. Image segmentation means that we can group similar pixels together and give these grouped pixels the same label. The grouping problem is a clustering problem. We want to study the use of K-means on the Berkeley Segmentation Benchmark. Below we will show the needed steps to achieve the goal of the assignment.

industry-text-classifier

Job title Classification by industry using NLP Multi-text Classification Problem.

java-bytecode-generator

A javac-like compiler built over Flex & Bison software tools. It takes in a Java source code file and emits its JVM bytecode & .class files.

kmeans-image-clustering

K-Means clustering algorithm implementation in Python.

minesweeper

A Mine sweeper embedded systems project.

mips-processor-simulator

A simplified MIPS machine simulator using SystemVerilog, developed with three different micro-architectures: single-cycle, multi-cycle and pipelined.

ml-cheat-sheet

This is a cheat sheet for Pattern Recognition course (formally known as ML course) for our open book exam. Feel FREE to clone the cheat sheet or fork it for your own usage in any of your courses.

modulation-recognition

This is an assignment for Pattern Recognition Course taught at Alexandria University, Faculty of Engineering offered in Spring 2019. The assignment goal is to design neural network that are able to classify the signals in the DeepSig dataset into their different modulation types.

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