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

Docker4Python is a set of docker images optimized for Python applications (suitable for Django). Use compose.yml file from the latest stable release to spin up local environment on Linux, Mac OS X and ...

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.