muhammedm294 Goto Github PK

aerialseg

This repository provides an implementation of semantic segmentation for road networks using PyTorch and the U-Net architecture. It focuses specifically on processing aerial images from the Massachusetts dataset.

cpp_

data

eurosat

Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset

github-final-project

This repo is the final assignment for Git and Github IBM Course

gkpbt-css-circle

css-circle

iteru

Iteru: Continuous Monitoring of GERD Reservoir using Google Earth Engine API and Sentinel-1 SAR Imagery

iteruapp

A Google Earth Engine-Based Interactive Web Application for Continuously Monitoring the GERD Reservoir in Ethiopia Using Sentinel-1 SAR GRD, iteru, and geemap.

jbbmo-introduction-to-git-and-github

Introduction to Git and GitHub

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

kitti_visual_odometry

Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.

lab-agile-planning

This repository contains the lab for agile planning, a part of introduction to agile development and scrum course

modern-computer-vision-with-pytorch

Modern Computer Vision with PyTorch, published by Packt

muhammedm294

My GitHub Profile

p1_facial_keypoints

First project for CVND: facial keypoint detection.

python-visual-odometry

Python implementation of Visual Odometry algorithms from http://rpg.ifi.uzh.ch/

python_for_image_processing

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch4cv

This repository contains a collection of computer vision projects implemented using PyTorch. I developed it for the purpose of learning and practicing computer vision concepts and techniques, and acquiring hands-on experience with PyTorch.

roboticsmaster

Online Robotics Master

sar2optical

This repository hosts a collection of experiments aimed at testing the effectiveness of transcoding Synthetic Aperture Radar (SAR) imagery to optical ones. The focus of these experiments is on solving the challenge of waterbody extraction in arid regions posed by the similarity of the intensity values of waterbodies and sand landcover in SAR image

smadi

smadi_tutorial

ssmad

techniques

Techniques for deep learning with satellite & aerial imagery

thinkstats2

Text and supporting code for Think Stats, 2nd Edition

udacity-sensor-fusion-nanodegree

Course projects for the Sensor Fusion Nanodegree program on Udacity.

udlbook

Understanding Deep Learning - Simon J.D. Prince

waterseg

This project aims to perform waterbodies segmentation of Toushka lakes, located in the southern desert of Egypt. The segmentation task is achieved using the PyTorch framework and the U-Net architecture.