Tutorials and updated codes for the research paper: 'Siamese Earthquake Transformer: A pair-input deep-learning model for earthquake detection and phase picking on a seismic array.'

Simplified machine-learning driven earthquake detection, location, and analysis.

MAchine Learning aided earthquake MIgration location

A Python Toolbox for Customizing Seismic Phase Pickers

STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

SeisBench - A toolbox for machine learning in seismology

A collection of scripts to steer HypoDD by Felix Waldhauser.

GmtPy - A Python interface to GMT

Learning to create Machine Learning Algorithms

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 synchro…

A Python package to request and process seismic waveform data from Hi-net.

A Machine-Learning Approach for Earthquake Magnitude Estimation

A Python interface for the Generic Mapping Tools

A resource repository for 3D machine learning

Keras implementations of Generative Adversarial Networks.

Python loop optimization for numerical calculations

Neural machine translation and sequence learning using TensorFlow

kaldi-asr/kaldi is the official location of the Kaldi project.

This repository contains MATLAB scripts and sample seismic data for appying seismid denoising proposed in: "Hybrid Seismic Denoising Using Higher‐Order Statistics and Improved Wavelet Block Thresho…

This is a very simple denoising code for seismic data. It contains two different basic thresholding functions and works in continuous wavelet domain.

Web interface for browsing, search and filtering recent arxiv submissions

SAC macros for earthquake data processing.

Codes for statistical test of probabilistic seismic hazard assessments.

Python routine for making earthquakes/stations maps.

These are some Shell scripts used for generating high-quality and professional plots using GMT.

This repository contains codes for automatic downloading and pre-processing of seismic time series.

Codes for Bootstrapping and estimating uncertainties in PSHA models