Learn how to build a fully connected, feedforward deep neural network from scratch in Python! This tutorial covers the theory ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...

This group project explores the use of neural networks to model avalanche hazard forecasts using a 15-year dataset from the Scottish Avalanche Information Service (SAIS). Our group has been assigned ...

Abstract: Multi-object detection in autonomous driving faces challenges due to multi-scale entities, diverse streetscapes, and limited computational resources. To address these challenges, we present ...

This repository provides a complete workflow for rapid State of Health (SOH) estimation of lithium-ion batteries using Electrochemical Impedance Spectroscopy (EIS) and neural network models. The code ...

A new artificial intelligence (AI)-powered penetration testing tool linked to a China-based company has attracted nearly 11,000 downloads on the Python Package Index (PyPI) repository, raising ...