Mohanad Albughdadi's Projects
Config files for my GitHub profile.
course on diffusion generative models in a fast forward mode
If you are looking to become a Google Cloud Engineer , then you are at the right place. GCPSketchnote is series where I share Google Cloud concepts in quick and easy to learn format.
EO4EU tutorial at IGARSS 2024
Experiments with satellite image data
Fine-tune Segment-Anything Model with Lightning Fabric.
Monte Carlo simulation of the NBA season, leveraging meltano, dbt, duckdb and evidence.dev
A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)
Code samples used on cloud.google.com
Solutions to some qwiklabs challenges
š°ļø Official repository of paper "RemoteCLIP: A Vision Language Foundation Model for Remote Sensing"
Resources for deep learning with satellite & aerial imagery
This app integrates the Segment Anything Model (SAM) with Sentinel-2 data. The app is built using Dash Plotly and dash leaflet. It allows segmenting satellite images using the two ways provided by SAM: automatic mask generator and prompt segmentation (using points and bounding boxes).
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
A repo gathering tools to search, download and process Sentinel-2 images using GCP services
SuperYOLO