Learn how to model 1D motion in Python using loops! 🐍⚙️ This step-by-step tutorial shows you how to simulate position, velocity, and acceleration over time with easy-to-follow Python code. Perfect ...

Learn how to model a mass-spring system using Python in this step-by-step tutorial! 🐍📊 Explore how to simulate oscillations, visualize motion, and analyze energy in a spring-mass system with code ...

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

Join us to experiment, break things, and imagine new possibilities. Data Club meetings are meetings, not workshops. An introduction to a bit of software is followed by opportunities to try the ...

In this repository are available codes for implementation of electrical loads classification and event detection in residential environments using PLAID dataset. But it can also be adapted to work ...

pDESy is a Python package for Discrete Time-Event Simulation (DES). It aims to be the fundamental high-level building block for practical, real-world engineering project management by using DES and ...

Abstract: Being able to build a map of the environment and to simultaneously localize within this map is an essential skill for mobile robots navigating in unknown environments in absence of external ...