smousavi05/smousavi05

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smousavi05/smousavi05

smousavi05

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EQTransformer

EQTransformer, a python package for earthquake signal detection and phase picking using AI.

STEAD

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

Unsupervised_Deep_Learning

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

Jupyter Notebook

dl_seismology

This repo contains the database and supporting materials for Deep-Learning Seismology

Denoising-BTwavelet

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 Thresholding"

MagNet

A Machine-Learning Approach for Earthquake Magnitude Estimation

Denoising-NeighSTFT

Noise-level estimation using minima controlled recursive averaging approach and denoising using Stein's unbiased risk estimates in STFT domain.

Seismic-Features-For-Machine-Learning

This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.

CRED

CRED: A deep residual network of convolutional and recurrent units for earthquake signal detection

Denoising-Custom

Automatic Microseismic Denoising and Onset Detection using customized thresholding.

FastDenoising

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

GMT-scripts

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

General-Cross-Validation-denoising-Forward

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"

Designaling-GCVwavelet-Reverse

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

Deep-Bays-Loc

This repo includes codes for paper Bayesian-Deep-Learning Estimation of Local Earthquake Location from Single-Station Observations,

Earthquake-Signal-Processing-Shell-SAC

SAC macros for earthquake data processing.

Earthquake-Signal-Processing-MATLAB

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

Sierpinski-Triangle

Estimating-Earthquake-Locations-Using-Twitter-Data-and-an-Unsupervised-Clustering

sample-data-for-denoising

This repo contains sample seismic data that can be used to test seismic denoising performance. Same data has been used across multiple seismic densoing project which make it possible to benchmark your denoising method against classical baselines methods that can be found in other repositories here.

Earthquake-Mapper

Python routine for making earthquakes/stations maps.

Seismic-MetaData-Downloader

This routine includes three main classed for downloading event and phase arrival metadata, station information, and reformatting and building SQL database.

Jupyter Notebook

Downloading-ISC-data-using-webservice

Uncertainty-Estimation

Codes for Bootstrapping and estimating uncertainties in PSHA models

Tests-of-probabilistic-hazard-estimates

Codes for statistical test of probabilistic seismic hazard assessments.

Arkansas_catalog

This is the unified catalog of seismicity during August 2010 at Guy Greenbrier Arkansas.

prediction_error