Building an elastic collision simulator with springs in Python to model realistic physics interactions and dynamic object collisions. Learn how to implement spring forces, momentum conservation, and ...

Master 3D electric field simulations of a charged rod using Python! 🐍⚡ This tutorial guides you step-by-step through visualizing electric field vectors in three dimensions, helping you understand ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...

Abstract: A control problem of an inverted pendulum in the presence of parametric uncertainty has been investigated in this paper. In particular, synthesis and implementation of an automatic ...

Beta: This SDK is supported for production use cases, but we do expect future releases to have some interface changes; see Interface stability. We are keen to hear feedback from you on these SDKs.

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

This repository contains a Python tutorial for using the ECCO Central Production version 4 ocean and sea-ice state estimate. Directories within the repository include the (tutorial documentation) and ...