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3-variable-k-map-minimizer

This C++ code finds the simplest boolean expression of a logic function of 3 variables by inputting its K-Map. All copy rights © go to Alaa Anani.

a-algorithm-graph-traversal

This C++ code follows the A* algorithm in traversing a graph that is inputted to the program in a text file in the form of a matrix (For each index i,j the weight of the edge is the value of the Matrix[i][j]). It finds the minimum spanning tree to traverse the graph using Priority Queues and Sets classes.

adaptive-certify

Implementation of adaptive hierarchical certification for segmentation using randomized smoothing.

cache-simulator

This C++ code simulates a Directly Mapped, Fully Associative and N-Way Associative caches to show the effect of spatial locality and temporal locality on them. As well as write back types and parameters within the cache (Size, block size, blocks per set)

cnn-from-scratch-cupy

This is a fully vectorized CNN components repo: Dense, Conv2D, Max Pool and Flatten layers.

cuda-in-place-sum-reduction-no-divergence

This C++/CUDA C program performs in-place sum reduction on a floating-point vector of any size provided by the user. The vector is initialized to random values by the host. The parallel version of the program uses multiple thread blocks and shared memory. My program invokes the kernel multiple times.

cuda-spmv-using-ell-sectioned-jds-format

distributed

hellorenode

This is a starter repo for building applications that can be emulated on Renode

hierarchical-certification

hough-rectangle-and-circle-detection

This Python project coded using Numpy implements line, rectangle and circle Hough Transform. It takes an image, determines the lines, rectangles and circles in it and also counts the money in the photo. [Calibrated on the provided test set only].

hrnet-semantic-segmentation

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

ilearndeeplearning.py

This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well as to check how the code works in the action.

jupytext

Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts

karelsolver-policygradientalgorithms

This is a Karel task solver (4x4) that uses RL Policy Gradient Algorithms.

lasertaggame-embedded

This project aims to implement a lasertag game system on the STML432KC nucleo-board. The game logic follows a usual lasertag game.

minesweepers-sesnors-arduino

These are the codes used during the competition Minesweepers '18. The microcontroller used was Arduino Uno. Two Arduinos were used, one for sensors and the other was shielded with an Ethernet shield for wireless data communication.

minesweepers-shielded-arduino

This is the code used on the sheilded Arduino during the competition Minesweepers '18. The sketch uses UDP protocol for receiving and sending data to the control station (LabVIEW) like the received sensors data. It also receives commands from the station for certain tasks; Joystick control, reset signal, activating PID control for angle and PWM adjustment.

reinfrocement-learning

This repo contains the solutions for the exercises of the Reinforcement Learning 2020 Textbook by Richard S. Sutton and Adrew G. Barto found here (https://www.amazon.de/Reinforcement-Learning-Introduction-Adaptive-Computation/dp/0262039249/ref=asc_df_0262039249/?tag=googshopde-21&linkCode=df0&hvadid=310780588948&hvpos=&hvnetw=g&hvrand=1059996085859779745&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9060722&hvtargid=pla-458692329113&psc=1&th=1&psc=1&tag=&ref=&adgrpid=61876418335&hvpone=&hvptwo=&hvadid=310780588948&hvpos=&hvnetw=g&hvrand=1059996085859779745&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9060722&hvtargid=pla-458692329113).

rov-ros-ws

rov19-arduino

Arduino Codes used on Vader II. This is implemented on a Mega board.

the-sleeping-teaching-assistant

Using POSIX threads, mutex locks, and semaphores, a simulation of a CPU (TA) handling processes (Student) is done in C. Refer to report for details.

traffic-signs-object-detection

This project coded in Python uses opencv functions and a CNN model to detect traffic signs containing at least red and yellow colors.

unet-skeletonization

Skeletonization using UNet architecture from scratch in Python

unix-shell

This is a UNIX shell. Project 1 in the Programming Projects of Chapter 3 in Operating Systems Textbook.