GitHub

eminsafa/pytorch-cuda-compatibility

1.13.0 3.7+ 11.6, 11.7 0.13.0 0.14.0 1.12.1 3.7+ 10.2, 11.3, 11.6 0.12.1 0.13.1 1.12.0 3.7+ 10.2, 11.3, 11.6 0.12.0 0.13.0 1.11.0 3.6+ 10.2, 11.3 0.11.0 0.12.0 1.10.1 ...
IEEE

QTU-Net: Quaternion Transformer-Based U-Net for Water Body Extraction of RGB Satellite Image

Abstract: Deep learning models have achieved great success in water body extraction (WBE) from remote sensing images. However, the existing deep learning-based extraction methods exhibit limitations ...
archive

Machine Learning with Pytorch and Scikit-Learn: Develop Machine Learning and Deep Learning Models with Python

Keep the news in the Wayback Machine. Sign Fight for the Future's letter. Please Don't Scroll Past This Can you chip in? The Internet Archive partners with libraries, archives, and institutions across ...
IEEE

Bridge Crack Segmentation Algorithm Based on Improved U-Net

Abstract: This paper introduces an enhanced U-Net network designed to extract fine crack features against complex backgrounds and balance crack pixel categories for bridge crack segmentation.