Paul-Saves's Stars
SMTorg/smt
Surrogate Modeling Toolbox
jbussemaker/SBArchOpt
Surrogate-Based Architecture Optimization toolbox
shb84/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.
bbopt/graph_distance
Supplementary material for the article "A graph-structured distance for heterogeneous datasets with meta variables"
SMTorg/smt-design-space-ext
SMT design space extension for hierarchical variable handling
daffarobani/smt
Surrogate Modeling Toolbox
daffarobani/smt-explainability
mcolombo1980/GNNDataset
Dataset for GNN
Paul-Saves/smt
Surrogate Modeling Toolbox