seismic-data

Deep Learning for Seismic Imaging and Interpretation

Seismic data processing with ML and deep learning

Seismic data interpretation with deep learning

Julia language support for geophysical time series data

Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders

Preprocessing seismic data: download, format changing, and archiving

Earthquake source parameters from P- and S-wave displacement spectra

The repository has the PyTorch codes to reproduce the results for our recently accepted paper, "Estimation of Acoustic Impedance from Seismic Data using Temporal Convolutional Network", in SEG Technical Program Expanded Abstracts, 2019.

Machine Learning/ Deep Learning processing Seismic data

3D Fault Segmentation by U-Net

Automatic Microseismic Denoising and Onset Detection using customized thresholding.

GMG: An open source geophysical modelling GUI

Using convolutional autoencoders to remove random noise from seismic data.

This repository contains MATLAB scripts and sample data for applying denoising method presented in: "Automatic noise-removal/signal-removal based on general cross-validation thresholding in synchrosqueezed domain and its application on earthquake data"

This is a reverse algorithem for GCV method that removes the signal and keep the background noise

Python Class to compute classic intensity measures for earthquake engineering

A pytorch framework for building deep learning models with seismic data

Seismic Data Tools

Seismic inversion

Open source Windows Application in Python for Geosciences, Artificial Intelligence and Data Sciences - Initial stages, 2021