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Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Fuente de datos de los reportajes y proyectos de periodismo de investigación y datos de DATADISTA
18.S096 - Applications of Scientific Machine Learning
An interactive book about the Riemann problem for hyperbolic PDEs, using Jupyter notebooks.
Create interactive webpages from Jupyter Notebooks
Simulation and analysis tools for autonomous F-16 maneuvers as a V&V benchmark
Info for the PyData Madrid 2016 conference
Online JSBSim manual (User, and Programmer Manual)