mahmoudmuawad Goto Github PK

-robot-mapping-ws-2018-19-assignments

Theses my assignments solutions for Robot Mapping - WS 2018/19 by Prof. Dr. Cyrill Stachniss

arabiccompetitiveprogramming

The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.

avr-atmega32-drivers-lib

Atmega-32 AVR Microcontroller device drivers library and with tests. implemented from ground up with no dependencies.

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

cppnuts

This is my channel repository

effective-cpp-series

My example and experimental source codes about books of Effective C++ Series, "Effective C++ 3/E" and "Effective Modern C++" by Scott Meyers.

modern-cpp-features

A cheatsheet of modern C++ language and library features.

project-advanced-finding-lane-lines

In this project, I wrote a software pipeline to identify the lane boundaries in a video from a front-facing camera on a car. The camera calibration images, test road images, and project videos are available .

project-behavioral-cloning

This the Fourth Project in Udacity Self-Driving Car Nanodegree

project-extended-kalman-filter

In this project you will utilize a kalman filter to estimate the state of a moving object of interest with noisy lidar and radar measurement

project-finding-lane-lines

This is the First Project in Udacity Self-driving car Nanodegree

project-kidnapped-vehicle

In this project, we will implement a 2-dimensional particle filter in C++. The particle filter will be given a map and some initial localization information (analogous to what a GPS would provide) to localize a vehicle.

project-path-planning

This seventh Project in Udacity Self-Driving Car Nanodegree

project-pid-controller

This My eighth Project in Udacity Self-Driving Car Nanodegree

project-traffic-sign-classifier

Building a Traffic Sign Recognition Project, This dataset has more than 50,000 images of 43 classes. I was able to reach a 98.889% validation accuracy, and a 97.2% testing accuracy.

pyfill

pyfill is a static python package used in sensor fusion algorithms , it contains most common probabilistic filters like (linear Kalman, Extended Kalman, Unscented Kalman, particle filter) besides motion models and measurement models , easy to use and fully tested .

python-quick-reference

this is my python summary and common Practices for Machine learning

scikit-learn_common_practice

This Repo contains the Basic Usage of scikit-learn functions and classes

simple_quiz_app

suprod

Suprood : is Qt application used for offline tasks management and habits tracking , easy to use and portable for windows .