An official read-only mirror of https://git.pyrocko.org/pyrocko/pyrocko. A seismology toolkit for Python.
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Updated
Nov 19, 2024 - Python
An official read-only mirror of https://git.pyrocko.org/pyrocko/pyrocko. A seismology toolkit for Python.
FEMTIC is a 3-D magnetotelluric inversion code. FEMTIC is made by object-oriented programming with C++. FEMTIC is applicable to land magnetotelluric survey data as well as ocean bottom magnetotelluric survey data.
🌏 machine learning for geophysical inversion.
notebooks for the Transform 2020 tutorial on Simulations and inversions with SimPEG
notebooks and tutorials on computation in geophysics
Generalised Bayesian inversion framework
Course Exercise: 1D magnetotelluric (MT) Neural Network inversion
Simple two-dimensional geophysical inversion for permafrost and ground ice detection using electromagnetic methods.
Trans-dimensional Bayesian joint inversion of magnetotelluric and geomagnetic depth sounding responses to constrain mantle electrical discontinuities
An Example of 1D inversion magnetotelluric data using Artificial Neural Networks
A performance-effective program for gravity field calculation for layered ellipsoidal density model.
Determination of the elastic parameters of a VTI medium from sonic logging data using deep learning
Analysis and Visualization toolkit for plaNetary Inferences
A tiny SVGD package for Bayesian inversion in geophysics.
A collection of mantle conductivity model series and corresponding data derived from geomagnetic satellite (MSS-1, Swarm, etc.) and observatory data.
Diffraction simulator programs developed to the Madagascar seismic processing package
By this tool, you can make surface mesh (input data of TetGen) for creating tetrahedral mesh.
This tool outpot mtr file of TetGen by reading node and ele files of TetGen
SPECFEM3D_GLOBE simulates global and regional (continental-scale) seismic wave propagation. http://danielpeter.github.io/specfem3d_globe/
[MATLAB inside] Comparative research well log prediction: Genetic algorithm vs Neural Network
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