Well-designed api with typehint, very easy to use. All path will be located automatically, no need to assign it manually.

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

We connected with Florian Winkler to learn how he created such an elegant and informative map that invites exploration.

This library used to be distributed as part of the full technology stack "Brain Annex"; but, starting with version 4.0.3, it's being independently released.

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.