GeoAI

This community hub contains a collection of CyberGIS-Jupyter notebooks and blog posts dedicated to the intersection of geospatial science and Artificial Intelligence (AI), commonly known as GeoAI. Originating from the CyberGISX platform, these resources delve deep into cutting-edge advances and applications of GeoAI.

8 notebook results
Enhancing Machine Learning Workflows with W&B

Posted by Nattapon Jaroenchai on Wednesday May 29, 2024

Weights and Biases (WandB) is a popular tool for tracking and visualizing machine learning experiments It is designed to help researchers and developers manage and optimize their machine learning ...

PRIME: A CyberGIS Platform for Resilience Inference Measurement and Enhancement

Posted by Debayan Mandal on Thursday February 22, 2024

Resilience assessment and improvement have become increasingly important in today's world, where natural and man-made disasters are becoming more frequent and severe Cities, communities, and ...

Introduction to graphs & GNNs with DGL

Posted by Alexander Michels on Tuesday December 19, 2023

This notebook serves as a brief introduction to graphs & GNNs using the DGL (https://docsdglai/indexhtml) python ...

Convolutional Neural Networks (CNNs) with PyTorch

Posted by Alexander Michels on Wednesday November 8, 2023

In this notebook, we will use PyTorch CNNs to recognize text from images We use CNNs in this use case because the individual values of pixels don't tell us very much, but convolutions can help us ...

Learning a Simple Linear Model with PyTorch

Posted by Alexander Michels on Wednesday November 8, 2023

In this notebook, we will use PyTorch for a simple linear regression ...

Intergrate OpenAI API for Python Programming

Posted by Wei Hu on Wednesday August 2, 2023

This notebook provides step-by-step instructions and practical examples to integrate the OpenAI API into JupyterLab using the Chapyter tool ...

Geospatial Knowledge Hypercube

Posted by Zhaonan Wang on Wednesday July 19, 2023

Today a tremendous amount of geospatial knowledge is hidden in massive volumes of text data To facilitate flexible and powerful geospatial analysis and applications, we introduce a new architecture: ...

Transfer Learning for Semantics Image Segmentation

Posted by Nattapon Jaroenchai on Tuesday May 16, 2023

This tutorial focused on transfer learning for image segmentation using the Segmentation Models Library We explored the benefits of transfer learning and introduced the Segmentation Models Library, ...

1 blog results Machine learning
Applications of Machine Learning in Geospatial Studies

Machine learning is a subset of artificial intelligence that focuses on algorithms that can learn ...