The Flood Modeller Python API is designed for users already familiar with both Flood Modeller and Python. The API is built up using distinct python classes for each of the key Flood Modeller file ...
The objective of this GitHub project is to demo a simple CRUD web api application with additional tutorials (including YouTube videos) and references including ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics
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.
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