Steven H Berguin's repositories
JENN
Jacobian-Enhanced Neural Networks (JENN) are fully connected multi-layer perceptrons, whose training process was modified to account for gradient information. Specifically, the parameters are learned by minimizing the Least Squares Estimator (LSE), modified to minimize prediction error of both response values and partial derivatives.
ATM76
Differentiable 1976 Atmosphere
Language:Jupyter NotebookMIT000
scikit-learn
scikit-learn: machine learning in Python
Language:PythonNOASSERTION000
smt
Surrogate Modeling Toolbox
Language:PythonBSD-3-Clause000