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.
abqpy is a Python package providing type hints for Python scripting of Abaqus, you can use it to write your Python script of Abaqus fluently, even without doing anything in Abaqus. It also provides ...
A Python library for parsing, handling, and generating JSON IDMEFv2 messages. It can be used to represent Incident Detection Message Exchange Format (IDMEFv2) messages in memory, validate them and ...
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