Thomas Mejer Hansen (cultpenguin)

cultpenguin

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Company:Aarhus University

Location:Denmark

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Thomas Mejer Hansen's repositories

segymat

Read and write SEGY formatted files using Matlab/Octave

Language:MATLABLicense:LGPL-2.1Stargazers:86Issues:10Issues:4

segypy

Read and write SEGY formatted files using Python

Language:PythonLicense:NOASSERTIONStargazers:24Issues:6Issues:10

sippi

A Matlab toolbox for sampling inverse problems with complex priors

Language:MATLABLicense:NOASSERTIONStargazers:19Issues:8Issues:4

scikit-traveltime

Traveltime computation based on the Eikonal equation

Language:Jupyter NotebookLicense:MITStargazers:7Issues:2Issues:0
Language:PythonLicense:GPL-3.0Stargazers:5Issues:2Issues:0

sippi-all

All packages needed to get full use of the SIPPI toolbox

Language:Jupyter NotebookLicense:MITStargazers:3Issues:2Issues:0

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.

Language:FortranLicense:GPL-3.0Stargazers:2Issues:2Issues:0

ML-Course

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

Language:Jupyter NotebookStargazers:1Issues:2Issues:0

mpm

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

Language:FortranLicense:GPL-2.0Stargazers:1Issues:2Issues:0
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Deep-Learning-with-tf.keras-with-mnist

A deep neural network with tensorflow and keras using mnist dataset

Language:Jupyter NotebookStargazers:0Issues:2Issues:0

FEMIC-Code

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

Language:MatlabStargazers:0Issues:2Issues:0

ga-aem

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

Language:C++License:NOASSERTIONStargazers:0Issues:2Issues:0
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geopython

3D Seismic VIZ, Working with Database

Language:LassoStargazers:0Issues:1Issues:0
License:MITStargazers:0Issues:2Issues:0

introtodeeplearning

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

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0
Language:MatlabLicense:LGPL-2.1Stargazers:0Issues:3Issues:0

snesim-standalone

Standalone Fortran 90 version of snesim written by Sebastien Strebelle

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License:MITStargazers:0Issues:2Issues:0