Pinned Repositories
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.
awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
Cpp_
EuroSat
Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset
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.
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.
s1s2_water
S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images
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
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.
MuhammedM294's Repositories
MuhammedM294/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
MuhammedM294/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.
MuhammedM294/EuroSat
Land Use /Land Cover Classification using PyTorch with the RGB EuroSat Dataset
MuhammedM294/Iteru
Iteru: Continuous Monitoring of GERD Reservoir using Google Earth Engine API and Sentinel-1 SAR Imagery
MuhammedM294/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.
MuhammedM294/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.
MuhammedM294/s1s2_water
S1S2-Water: A global dataset for semantic segmentation of water bodies from Sentinel-1 and Sentinel-2 satellite images
MuhammedM294/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.
MuhammedM294/awesome-gee-community-datasets
Community Datasets added by users and made available for use at large
MuhammedM294/Cpp_
MuhammedM294/CV-Projects
MuhammedM294/data
MuhammedM294/github-final-project
This repo is the final assignment for Git and Github IBM Course
MuhammedM294/gkpbt-css-circle
css-circle
MuhammedM294/jbbmo-Introduction-to-Git-and-GitHub
Introduction to Git and GitHub
MuhammedM294/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.
MuhammedM294/smadi
SMADI is a workflow designed to compute climate normals and detect anomalies for satellite soil moisture data, with a primary focus on ASCAT surface soil moisture (SSM) products.
MuhammedM294/Modern-Computer-Vision-with-PyTorch
Modern Computer Vision with PyTorch, published by Packt
MuhammedM294/MuhammedM294
My GitHub Profile
MuhammedM294/P1_Facial_Keypoints
First project for CVND: facial keypoint detection.
MuhammedM294/pytesmo
python Toolbox for the Evaluation of Soil Moisture Observations
MuhammedM294/python_for_image_processing
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
MuhammedM294/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
MuhammedM294/RoboticsMaster
Online Robotics Master
MuhammedM294/SMADI_Tutorial
MuhammedM294/ssmad
MuhammedM294/techniques
Techniques for deep learning with satellite & aerial imagery
MuhammedM294/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
MuhammedM294/ThinkStats2
Text and supporting code for Think Stats, 2nd Edition
MuhammedM294/udlbook
Understanding Deep Learning - Simon J.D. Prince