Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Cuba is already on the brink. Maduro’s ouster brings it closer to collapse. California ...

Learn how to visualize a magnetic field model using Python! 🧲💻 In this tutorial, we’ll walk through creating a 2D vector field to represent the magnetic forces around a dipole. Perfect for physics ...

Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...

Quantifying stratigraphic uncertainty is crucial for reliable risk assessment and informed decision-making in geotechnical and geological engineering. However, accurately modeling complex stratigraphy ...

sde-sim-rs is a high-performance library for simulating stochastic differential equations (SDEs), which are foundational in fields like quantitative finance, physics, and biology. By leveraging the ...

Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary ...

ABSTRACT: In the 1920s, the United States of America encountered unusual bank failures that had a ripple effect on other continents, including Africa and Asia. Among the African nations most severely ...

Abstract: Sport provides a rich set of opportunities for the application of stochastic modelling. The discrete nature of some sports (tennis, for example) lends itself to analysis through Markov ...