Abstract: We present a novel particle-grid scheme for simulating bubble and foam flow. At the core of our approach lies a particle representation that combines the computational nature of moving least ...

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

All of the documentation is available on-line. All of the source code is inside the src directory. For more information on the source code please see the src/Readme.md file. Please check the website ...

SIMply is an open-source python tool for simulating physically realistic images. SIMply is designed primarily to support the development of spaceborne cameras by providing a simple and accessible ...