Muhammad540

Bitgrad

This is a small-scale autograd engine and neural network library, inspired by Andrej Karpathy's Micrograd. It's designed for simplicity and ease of use, perfect for learning and experimentation. Check it out on GitHub: https://github.com/karpathy/micrograd

Continuous-Learning-for-Autonomous-Vehicles

Welcome to the autonomous vehicle self-learning project !

CUR-decomposition-

Vanilla implementation of CUR Matrix Decomposition: In this example it is used to fill in missing values from your data, the data could be sensor data or anything you can imagine :)

elevation_mapping

ROS2 port of Robot-centric elevation mapping for rough terrain navigation

Graphs-are-Fun

This repo contains a jupyter notebook implementing some basic Graph theory concepts, it is by no means a comprehensive repo. Just a slight peak into the world of graphs.

Hard-Thresholding

The Method implemented here is Hard Thresholding by Matan Gavish and David L. Donoho in their paper called, "The Optimal Hard Threshold for Singular Values is 4/√3 " please read that.

Random_Square_Generator

It creates a Random Square given a corner coordinate of the square, one corner of squaer is always at the origin

Spectral-Clustering

This jupyter Notebook gives an insight in implementation of Spectral Clustering, it is still a work in progress...

traversability_estimation

ROS2 Port for traversability mapping for mobile rough terrain navigation.

Vanilla-Kmeans

This repo implements vanilla Kmeans on 2 distinct clusters. The purpose to create this repo was to implement K Means from the ground up. Generate my own data and perform clustering on it.

Muhammad540/Hard-Thresholding

The Method implemented here is Hard Thresholding by Matan Gavish and David L. Donoho in their paper called, "The Optimal Hard Threshold for Singular Values is 4/√3 " please read that.

Muhammad540/traversability_estimation

ROS2 Port for traversability mapping for mobile rough terrain navigation.

Muhammad540/elevation_mapping

ROS2 port of Robot-centric elevation mapping for rough terrain navigation

Muhammad540/CUR-decomposition-

Vanilla implementation of CUR Matrix Decomposition: In this example it is used to fill in missing values from your data, the data could be sensor data or anything you can imagine :)

Muhammad540/Graphs-are-Fun

This repo contains a jupyter notebook implementing some basic Graph theory concepts, it is by no means a comprehensive repo. Just a slight peak into the world of graphs.

Muhammad540/Random_Square_Generator

It creates a Random Square given a corner coordinate of the square, one corner of squaer is always at the origin

Muhammad540/Spectral-Clustering

This jupyter Notebook gives an insight in implementation of Spectral Clustering, it is still a work in progress...

Muhammad540/Vanilla-Kmeans

This repo implements vanilla Kmeans on 2 distinct clusters. The purpose to create this repo was to implement K Means from the ground up. Generate my own data and perform clustering on it.

Muhammad540/Bitgrad

This is a small-scale autograd engine and neural network library, inspired by Andrej Karpathy's Micrograd. It's designed for simplicity and ease of use, perfect for learning and experimentation. Check it out on GitHub: https://github.com/karpathy/micrograd

Muhammad540/Continuous-Learning-for-Autonomous-Vehicles

Welcome to the autonomous vehicle self-learning project !

Muhammad540/dotfiles

Muhammad540/High_Performance_Computing

This Repo contains projects covering different aspects of HPC systems.

Muhammad540/Image-Processing-

This repo contains some basic implementations of different image processing techniques using python famous frameworks. [It is a work in progress i will upload as i learn new techniques]

Muhammad540/ME462_Robolaunch

This repository contains the project files for ME462 course at Middle East Technical University

Muhammad540/MPI-

This Repository is illustration of some basic MPI operations

Muhammad540/Finite-Element-Method-Solvers

This repo contains code to implement FEM.

Muhammad540/Guide-to-Sensor-Fusion

We will study how to fuse different sensor modalities to get better robot localization. We will go over Multi-Variable Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter Approaches for Global Localization.

Muhammad540/Object-Tracking-Following-Navigation

This repo contains the code files for some algorithms implemented on a 4 wheeled vehicle in webots environment.

Muhammad540/simple_lifecycle_node

just a simple lifecycle node