Yehia Hesham Said's Projects
๐ข Ready to learn! you will learn 10 skills as data scientist:๐ Machine Learning, Deep Learning, Data Cleaning, EDA, Learn Python, Learn python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
Extracting of morphometric tabular features for multimodal self-supervised contrastive learning for prostate cancer detection using the imbalanced dataset from PI-CAI competition.
Clock module having following functionalists: Stopwatch View, Alarm View , and Alarming Sound (I2S Audio) to both.
Using a vulnerable insecure program to demonstrate Buffer Overflow Attack to acquire a root Terminal .
Using a trained classifier and computer vision techniques, we designed a car lane shifter helper which aids the driver in shifting lanes safely.
Employed i-Creates that litter and a Dagu car to simulate a real time chase acting Using Server-Client Architecture, two Cameras, Ultrasonic Sensors, and an assembled motor arm.
Experiment on S&P500 historical data using a Conv-Net
A complete computer science study plan to become a software engineer.
Parsed a given MIPS instructions file, and simulated a 5-stage pipeline behavior
Repo for the Deep Reinforcement Learning Nanodegree program
Project number 2 inb the deep reinforcement learnining nano degree
Modularized Implementation of Deep RL Algorithms in PyTorch
Ubuntu Disk Analyzer
Code for the Deep Learning with PyTorch lesson
coding related to Facebook Developer Circle Live AI Master Class
Javascript app that fetch the โtop 100 most starred repos โcreated in the last 90 days via github's api, calculate, and display some statistics about them.
Python client library for Google Maps API Web Services
HEY
Distributed environment for Image sharing and protection using Steganography
Distributed environment for Image sharing and protection using Steganography
Code for ICML 2022 paper "Out-of-distribution Detection with Deep Nearest Neighbors"
Classify the sentiment of sentences from the Rotten Tomatoes dataset
Train a pair of agents to play tennis collaboratively
Utilizing the JavaFx Lib to play music, created a Playlist , and made an interactive easy-use Linux desktop app.
Project 1 of Udacity Deep Reinforcement Learning Nanodegree. Trainning an agent to navigate (and collect bananas!) in a large, square world.
Using Assembly language. Using the PIC32 utilizing the UNO32 board as well as the chipKIT Basic I/O Shield.