Pinned Repositories
2015_gsc_nshm
OpenQuake input files for the 2015 Seismic Hazard Model of Canada
catalogue_toolkit
Open source toolkit for the compilation and harmonisation of earthquake catalogues
deepdistilling
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
EzXML.jl
XML/HTML handling tools for primates
fault_experiments
Repo for testing out different file types and methods for utilising fault data
hmtk
Hazard Modeller's Toolkit prototype code
InverseProblem
This function inverts ill conditioned matrices using an iterative solution to the Tikhonov regularization problem. It takes three arguments: A, the matrix, l, lambda the contraint, and k, the number of iterations. In this iterative Tikhonov regularization model, also known as ridge regression, I introduce an iterative solution to the ill-posed linear inverse problem. My approach to the inverse problem can be viewed as a generalization of existing methods, where, in addition to the regularization parameter, I introduce a second regularization parameter as the number if iterations. This work is motivated by the fact that the least squares solution does not give a reasonable result when the data matrix is singular or ill-conditioned. Test cases show that the approach is either better or significantly better than existing L2 regularization methods.
OpenSHA
Raw OpenSHA source code from USGS
oq-engine-pablo
OpenQuake's Engine for Seismic Hazard and Risk Analysis
vim-colors-solarized
precision colorscheme for the vim text editor
mmpagani's Repositories
mmpagani/OpenSHA
Raw OpenSHA source code from USGS
mmpagani/oq-engine-pablo
OpenQuake's Engine for Seismic Hazard and Risk Analysis
mmpagani/vim-colors-solarized
precision colorscheme for the vim text editor
mmpagani/2015_gsc_nshm
OpenQuake input files for the 2015 Seismic Hazard Model of Canada
mmpagani/catalogue_toolkit
Open source toolkit for the compilation and harmonisation of earthquake catalogues
mmpagani/deepdistilling
Mechanistically interpretable neurosymbolic AI (Nature Comput Sci 2024): losslessly compressing NNs to computer code and discovering new algorithms which generalize out-of-distribution and outperform human-designed algorithms
mmpagani/EzXML.jl
XML/HTML handling tools for primates
mmpagani/fault_experiments
Repo for testing out different file types and methods for utilising fault data
mmpagani/hmtk
Hazard Modeller's Toolkit prototype code
mmpagani/InverseProblem
This function inverts ill conditioned matrices using an iterative solution to the Tikhonov regularization problem. It takes three arguments: A, the matrix, l, lambda the contraint, and k, the number of iterations. In this iterative Tikhonov regularization model, also known as ridge regression, I introduce an iterative solution to the ill-posed linear inverse problem. My approach to the inverse problem can be viewed as a generalization of existing methods, where, in addition to the regularization parameter, I introduce a second regularization parameter as the number if iterations. This work is motivated by the fact that the least squares solution does not give a reasonable result when the data matrix is singular or ill-conditioned. Test cases show that the approach is either better or significantly better than existing L2 regularization methods.
mmpagani/ipython-in-depth
IPython in-depth Tutorial, first presented at PyCon 2012
mmpagani/MC-Qsim
this repository hosts MC-Qsim, a multi-cycle earthquake rupture simulator for generation of earthquake sequences along predefined faults or fault systems of arbitrary geometric complexity
mmpagani/Oiler
mmpagani/okada_wrapper
MATLAB and Python wrappers of the Okada Green's functions.
mmpagani/oq-hazardlib
mmpagani/poly3d
Boundary element method for modeling faults and fractures discretized into polygonal elements, reproduced from M.S. thesis of A. Thomas, 1993
mmpagani/pyDOE
Design of experiments for Python
mmpagani/pyrvt
Use random vibration theory to transform between Fourier amplitude spectrum and response spectrum
mmpagani/sammon
Sammon mapping in Python
mmpagani/StochasticGroundMotionSimulation.jl
Ground-motion simulation via the Stochastic Method
mmpagani/strata
Site response program featuring simulated profiles, random vibration theory, and a graphical user interface.
mmpagani/tri_dislocations_python
Python port of Brendan Meade's triangular dislocation code (tde)