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adfne

Alghalandis Discrete Fracture Network Engineering

amt_matlab

Ambient Noise Tomography for Matlab

anisomt

Magnetotelluric modeling for anisotropic Earth

anomaly-detection-in-hyperspectral-images-based-on-low-rank-and-sparse-representation

assessment-of-hybrid-dl-rom

POD-RNN and CRAN

bayesian_filtering_smoothing

MATLAB codes to perform Non-Linear Kalman filtering and smoothing using particle filters

bayesianinversion-for1dand2d

The files in this repository are a result of my master thesis.

bayesmtgds-released

Trans-dimensional Bayesian joint inversion of magnetotelluric and geomagnetic depth sounding responses to constrain mantle electrical discontinuities

bayhunter

McMC transdimensional Bayesian inversion of surface wave dispersion and receiver functions

bfda

Matlab toolbox for Bayesian functional data analysis

chaosanalysis

A matlab package for analyzing chaotic properties of time series data

characterizing-pinns-failure-modes

Characterizing possible failure modes in physics-informed neural networks.

comprehensive-evaluation-of-multivariate-chaotic-time-series-using-neural-networks

Multivariate chaotic time series prediction, a popular research topic which is concerned with many disciplines (weather forecasting and predicting stocks), where the end goal is to predict the future of the time series based on past observations. Various neural networks has been proposed to forecast future values in time series data but existing methods are not comprehensively evaluated.

dc-simulation

Using finite element method for calculating direct current method in Geoelectricity.

deeponet

Learning nonlinear operators via DeepONet

deepxde

Deep learning library for solving differential equations and more

dfnworks

dfnWorks is a parallelized computational suite to generate three-dimensional discrete fracture networks (DFN) and simulate flow and transport.

dispinversion

Surface Wave Dispersion Inversion Code

dl-rom

Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.

dl-rom-1

Deep Learning for Reduced Order Modelling

dl-rom-meth

Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10915-021-01462-7.

edi2mare

Edi2Mare is a little GUI to help you to convert EDI-files into the correct format to run inversions with MARE2DEM.

eeg-based-emotion-analysis-using-deap-dataset-for-supervised-machine-learning

This project is for classification of emotions using EEG signals recorded in the DEAP dataset to achieve high accuracy score using machine learning algorithms such as Support vector machine and K - Nearest Neighbor.

eeglearn

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

eki_geophysics_2020

Example MATLAB scripts for running ensemble Kalman inversion for electrical resistivity tomography data to accompany paper.

erinn

Electrical resistivity imaging based on deep learning

esys-escript.github.io

export_fig

A MATLAB toolbox for exporting publication quality figures

fahpy

Fuzzy Analytic Hierarchy Process (also known FAHP or Fuzzy AHP) method implementation in python for multi-criteria decision making.

fastfwi

Simple frequency domain full-waveform inversion (FWI) regularized by Sobolev space norm