ksehic/LassoBench

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Python
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Created over 3 years ago
Updated over 2 years ago

ksehic/LassoBench

ksehic

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Benchmark library for high-dimensional HPO of black-box models based on Weighted Lasso regression

Local-Approximations-for-SuS

Local Approximations for Subset Simulation method. It is a sequential design (active learning) based on polynomial regression and Gaussian process to quantify extreme events efficiently.

OCW3D-F90-UQProbe

PhD project Numerical Uncertainty Quantification for Extreme Wave Loads by using the full nonlinear and dispersive solver OceanWave3D-F90 (https://github.com/apengsigkarup/OceanWave3D-Fortran90/tree/master)