BEEILAB
Beyond Earth's Eyes and Intelligence Lab led by Dr. Masoud Mahdianpari
CanadaMemorial University of Newfoundland
Pinned Repositories
Attention-Mechanism
Here, you can find some code implementation of the attention mechanisms.
Basic-Python-Programming-Language
Explore the world of Python programming with BE E ILAB's collection of insightful tutorials! This repository contains code examples and materials from our engaging video tutorials, covering a range of topics. Join us on GitHub for a deeper understanding of programming concepts and their real-world applications!
LULC-Classification-Using-Deep-learning
This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!
LULC-Classification-Using-Machine-learning
This repository will guide you how to use machine learning algorithms for land use land cover classification using Sentinel-2 data.
Matplotlib-data-visualization-course
Welcome to the full data visualization course using the Matplotlib library on Jupyter Notebook and Python. This playlist provides a full tutorial about all types of plots using Matplotlib.
Publications
Welcome to the BEEILAB Publications Repository! This comprehensive collection houses the code implementations, datasets, and supplementary materials associated with the groundbreaking research published by the Beyond Earth's Eyes & Intelligence Lab (BEEILAB).
Satellite-image-segmentation-using-segment-anything-model
segment-anything
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.
Quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
BEEILAB's Repositories
BEEILAB/LULC-Classification-Using-Deep-learning
This repository will guide you how to use deep learning algorithms for land use land cover classification using satellite dataset!
BEEILAB/LULC-Classification-Using-Machine-learning
This repository will guide you how to use machine learning algorithms for land use land cover classification using Sentinel-2 data.
BEEILAB/Attention-Mechanism
Here, you can find some code implementation of the attention mechanisms.
BEEILAB/Satellite-image-segmentation-using-segment-anything-model
BEEILAB/Basic-Python-Programming-Language
Explore the world of Python programming with BE E ILAB's collection of insightful tutorials! This repository contains code examples and materials from our engaging video tutorials, covering a range of topics. Join us on GitHub for a deeper understanding of programming concepts and their real-world applications!
BEEILAB/Matplotlib-data-visualization-course
Welcome to the full data visualization course using the Matplotlib library on Jupyter Notebook and Python. This playlist provides a full tutorial about all types of plots using Matplotlib.
BEEILAB/Publications
Welcome to the BEEILAB Publications Repository! This comprehensive collection houses the code implementations, datasets, and supplementary materials associated with the groundbreaking research published by the Beyond Earth's Eyes & Intelligence Lab (BEEILAB).
BEEILAB/segment-anything
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.