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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, ...
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2 blog results
The Most Recent Trend in Geospatial AI: The Good and ...
Geospatial AI (Artificial Intelligence) is an emerging field that combines geospatial technology ...
Applications of Machine Learning in Geospatial Studies
Machine learning is a subset of artificial intelligence that focuses on algorithms that can learn ...