serkanhasanoglu

Code to estimate parameters of spatial ground-motion correlation models that account for path and site effects using Bayesian inference. Supplements following manuscript: https://doi.org/10.5194/nhess-23-2387-2023

Language:Jupyter NotebookApache-2.0400

BayesFrag

Bayesian estimation of empirical seismic fragility models to account for ground motion uncertainty. Supplement to: https://doi.org/10.1177/87552930241261486

Language:Jupyter NotebookBSD-3-Clause1700

ground-motion-simulation-shakemap

Simulate spatially correlated ground-motion intensity measures conditional on seismic network recordings. https://doi.org/10.5281/zenodo.7646888

Language:Jupyter NotebookAGPL-3.01900

gmpe-smtk

Python and OpenQuake-based Toolkit for Analysis of Strong Motions and Interpretation of GMPEs

Language:PythonAGPL-3.04300

VMTK-Vulnerability-Modellers-ToolKit

This is the web repository of the Vulnerability Modeller's ToolKit (VMTK). The VMTK is a suite of tools to develop fragility and vulnerability models.

Language:PythonAGPL-3.03400

pelicun

Probabilistic Estimation of Losses, Injuries, and Community resilience Under Natural hazard events

Language:PythonNOASSERTION5100

OpenSeesPy

OpenSeesPy versions, doc, and pip

Language:C++NOASSERTION16700