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aarhusinv

bench_sampling_matlab_julia_python

dataintegration

deep-learning-with-tf.keras-with-mnist

A deep neural network with tensorflow and keras using mnist dataset

femic-code

Supplemental for Computer & Geoscience paper entitled "A Matlab-Based Frequency-Domain Electromagnetic Inversion Code (FEMIC) with Graphical User Interface"

ga-aem

Modelling and Inversion of Airborne Electromagnetic (AEM) Data in 1D

geobipy

geopython

3D Seismic VIZ, Working with Database

integrate

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

lasymat

mgstat

ml-course

Material for a course on machine learning based on open available lectures and exercises

mpm

2D Finite Difference modeling of the Elastic Wave Equation with Main Phase Modeling

posterior_statistics_using_ml

scikit-traveltime

Traveltime computation based on the Eikonal equation

segymat

Read and write SEGY formatted files using Matlab/Octave

segypy

Read and write SEGY formatted files using Python

sippi

A Matlab toolbox for sampling inverse problems with complex priors

sippi-all

All packages needed to get full use of the SIPPI toolbox

snesim-standalone

Standalone Fortran 90 version of snesim written by Sebastien Strebelle

testdoc

visim

VISIM allow sequential simulation conditioning to noisy linear volume averages measurements. (for example as in tomography). Both sequential Gaussian simulation and direct sequential simulation with histogram reproduction are supported.