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2d-tomography

This repository is a 2D travel-time tomography seismic using MATLAB which I build and my friend Rinta in order to complete my Final Projects. The forward modelling is resolved using Fast Marching Method (FMM) with finite difference approximation and the raytracing is resolved based on John Vidale paper, Finite difference calculation of travel times. This code can use two method in inversion part, Least Square and Pseudo-Inverse where the input data is only needed travel time and the location of station (in UTM, both easting and northing). You can also set some parameters which could affects the tomography result, such as the number of iteration, displaying forward modelling or inverse modelling to track your data, save your model or not and etc.

addons

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

adid

autodiff

automatic differentiation made easier for C++

bayhunter

cpp-utils

dc-1d-forward-simulation

deep-learning-experiments

Notes and experiments to understand deep learning concepts

deepxde

Deep learning library for solving differential equations

em3dani

A Julia package for isotropic/anisotropic 3D forward modeling of frequency-domain electromagnetic (CSEM and MT) data.

femt2d

FE simulation of 2D Magnetotellurics in MATLAB

femtic

FEMTIC is a 3-D magnetotelluric inversion code. FEMTIC is made by object-oriented programming with C++.

findiff

Python package for finite difference numerical derivatives and partial differential equations in any number of dimensions.

gempy

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

geoem3dpy

A python package for 3D geophysical electromagnetic (GeoEM) simulation and data inversion

geophyinv.jl

A Julia Toolbox for Geophysical Modeling and Inverse Problems

geosci-labs

collection of notebook-apps for concepts in applied geophysics

gimli

Geophysical Inversion and Modeling Library :earth_africa:

gprmax

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

gradient_descent_viz

interactive visualization of 5 popular gradient descent methods with step-by-step illustration and hyperparameter tuning UI

hpm

Hidden physics models: Machine learning of nonlinear partial differential equations

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras-mdn-layer

An MDN Layer for Keras using TensorFlow's distributions module

liblbfgs

libLBFGS: a library of Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS)

ma

monge-ampere equation solver

ma_4301

Multigrid Solver for Monge-Ampere Equation in 2D

math

The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.

medium_repo

This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)