Muhammed Abdel-Nasser's Projects
This repository is my documenting repository for learning the world of DevOps. I started this journey on the 1st January 2022 and I plan to run to March 31st for a complete 90-day romp on spending an hour a day including weekends to get a foundational knowledge across a lot of different areas that make up DevOps.
In this project, I used OpenCV to write a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car.
A cheat sheet that contains advanced queries for SQL Injection of all types.
Udacity Advanced Path Planing Project -Term3
Art Institute of Chicago Official Mobile App - Android
In this project, we built ROS nodes to implement the core functionality of the autonomous vehicle system, including traffic light detection and classification, vehicle control control, and waypoint following.
An abnormal horizontal ListView-like pile layout.
Learn how to build ANN using scikit learn then convert the model to run on any embedded platform
Anytime Stereo Image Depth Estimation on Mobile Devices (ICRA 2019)
Convert Arabic Handwritten Images to Text
Building an iPhone AR Museum App in iOS 11 with Apple’s ARKit Image Recognition.
Recognizing cropped text in natural images.
header files for olatform type,com stack,standard type
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
The most cited deep learning papers
A curated list of delightful Embedded Systems libraries, RTOSes, modules, references and more!
:scream: A curated list of amazingly awesome OSINT
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
🚗 A curated list of resources for learning about vehicle security and car hacking.
Mirror of the Basalt repository. All pull requests and issues should be sent to https://gitlab.com/VladyslavUsenko/basalt
In this project, I used a deep neural network (built with Keras) to clone car driving behavior. The dataset used to train the network is generated from Udacity's Self-Driving Car Simulator, and it consists of images taken from three different camera angles (Center - Left - Right), in addition to the steering angle, throttle, brake, and speed during each frame. The network is based on NVIDIA's paper End to End Learning for Self-Driving Cars, which has been proven to work in this problem domain.
Example of "biological" learning for MNIST
Ressources for bug bounty hunting
An amazon scraper and reporter tool for valeo codeathon.
Candy: Self-driving Agent in Carla.
Open-source simulator for autonomous driving research.
Udacity Self Driving Car Nanodegree - Behavioral Cloning
Starting files for the Udacity CarND Behavioral Cloning Project
This is the project repo for the final project of the Udacity Self-Driving Car Nanodegree
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent