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6 Results machine-learning
Enhancing Machine Learning Workflows with W&B

Posted by Nattapon Jaroenchai on Wednesday May 29, 2024

Author(s): Nattapon Jaroenchai

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

Author(s): Debayan Mandal, Dr. Lei Zou, Rohan Singh Wilkho, , Dr. Furqan Baig, Joynal Abedin, Bing Zhou, Dr. Heng Cai, Dr. Nasir Gharaibeh, Dr. Nina Lam

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 ...

Convolutional Neural Networks (CNNs) with PyTorch

Posted by Alexander Michels on Wednesday November 8, 2023

Author(s): Jeffrey Huang and Alex Michels

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

Author(s): Jeffrey Huang and Alex Michels

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

Transfer Learning for Semantics Image Segmentation

Posted by Nattapon Jaroenchai on Tuesday May 16, 2023

Author(s): Nattapon Jaroenchai

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, ...

Applications of Machine Learning in Geospatial Studies

Posted by Admin CyberGISX on Monday December 12, 2022

Machine learning is a subset of artificial intelligence that focuses on algorithms that can learn and improve from data without being explicitly programmed In the geospatial field, machine learning ...