Abstract: In this article, an enhanced diffractive neural network is proposed for achieving metasurface holograms with high resolution, low noise, and uniform intensity. First, we prove the ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Abstract: Neural fields, also known as coordinate-based multi-layer perceptrons (MLPs), have recently achieved impressive results in representing low-dimensional data. Unlike convolutional neural ...

Small hands-on Python projects help young learners understand loops, variables, and logic naturally through play. Instant on-screen results maintain motivation and make coding feel rewarding rather ...

This repository contains an efficient implementation of Kolmogorov-Arnold Network (KAN). The original implementation of KAN is available here. The problem is in the sparsification which is claimed to ...

Network engineers are increasingly adopting Python libraries to automate device management, configuration, and monitoring. Tools like Nornir, Netmiko, and NAPALM are helping professionals streamline ...