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

Simple library to drive a 4-phase stepper motor using simple Move(), AccelMove() and Disable() functions. Works well with 28BYJ-48 stepper motor and UNL2003 module. Focus is on controlling steppers ...

So, you want to learn Python? That’s cool. A lot of people are getting into it these days because it’s used for all sorts of things, from building websites to analyzing data. If you’re looking for a ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.

This library provides a simple way to interface to Arduino functions exported with the simpleRPC protocol. The exported method definitions are communicated to the host, which is then able to generate ...