InfoWorld

Pick your Python accelerator

With lazy imports, JIT compilation, Python-generated C, or the Python-esque Mojo, it has never been easier to make Python go ...
How-To Geek on MSN

These 7 Python libraries are useful even if you're not a developer

Every Python developer knows some or all of these libraries, because they’re stable, reliable, and excellent at what they do.
IEEE

SDCNN: Self-Supervised Disentangled Convolutional Neural Network for Low-Dose CT Denoising

Abstract: Low-dose computed tomography (LDCT) reduces radiation exposure but suffers from high noise, impacting image quality and diagnostic accuracy. Supervised learning has helped address this ...
IEEE

GPINN: Physics-Informed Neural Network with Graph Embedding

Abstract: Solving partial differential equations (PDEs) is of great importance in numerous fields including physics, engineering, finance, and scientific computing. Physics-Informed Neural Networks ...
GitHub

alelab-upenn/graph-neural-networks

F. Gama, A. G. Marques, G. Leus, and A. Ribeiro, "Convolutional Neural Network Architectures for Signals Supported on Graphs," IEEE Trans. Signal Process., vol. 67 ...
GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...