SPECFEM3D_Cartesian simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra (structured or not).

MCMC algorithms implemented in three languages: Matlab, Python, and R

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

Python pipeline for Ambient Noise Adjoint Tomography based on SPECFEM3D_Cartesian

Python implementation of MATLAB toolbox "mcmcstat"

Fortran library for MCMC calculations

MCMC toolbox for Matlab

A Python package for Horizontal-to-Vertical (H/V, HVSR) Spectral Ratio Processing.

StrainTool: A software package to estimate strain tensor parameters

Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.

Python - 100天从新手到大师

Inversion of dispersion curves using Evolutionary Algorithms

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Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

Numba-accelerated computation of surface wave dispersion

A Python Package for seismic ambient noise cross-correlation and the frequency-Bessel transform method

Surface wave dispersion inversion using Monte Carlo methohd

McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions

Joint inversion of Receiver Function and Surface Wave Disperion by Hamiltonian Monte Carlo Method

Ambient-Noise Seismology Package

A simple NA implementation

Calculate OBS horizontal orientations using the DLOPy algorithm (Adrian. K. Doran and Gabi Laske 2017)

MINEOS - surface wave phase velocity and kernel calculations

compute surface wave dispersion curves in python using Herrmann's codes

Software to compute synthetic seismograms for an incidence P or SV wave to 1-D layered structure.