smousavi05

CRED

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

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"

Denoising-Custom

Automatic Microseismic Denoising and Onset Detection using customized thresholding.

Denoising-NeighSTFT

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

dl_seismology

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

EQTransformer

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

MagNet

A Machine-Learning Approach for Earthquake Magnitude Estimation

Seismic-Features-For-Machine-Learning

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

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

smousavi05/FastDenoising

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

smousavi05/GMT-scripts

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

smousavi05/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"

smousavi05/Earthquake-Signal-Processing-Shell-SAC

SAC macros for earthquake data processing.

smousavi05/Earthquake-Signal-Processing-MATLAB

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

smousavi05/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

smousavi05/Earthquake-Mapper

Python routine for making earthquakes/stations maps.

smousavi05/Estimating-Earthquake-Locations-Using-Twitter-Data-and-an-Unsupervised-Clustering

smousavi05/gmtpy

GmtPy - A Python interface to GMT

smousavi05/hypoDDpy

A collection of scripts to steer HypoDD by Felix Waldhauser.

smousavi05/Seismic-MetaData-Downloader

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

smousavi05/Downloading-ISC-data-using-webservice

smousavi05/Tests-of-probabilistic-hazard-estimates

Codes for statistical test of probabilistic seismic hazard assessments.

smousavi05/Uncertainty-Estimation

Codes for Bootstrapping and estimating uncertainties in PSHA models

smousavi05/Arkansas_catalog

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

smousavi05/arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

smousavi05/prediction_error

smousavi05/Exercise-5

Exercise5 : Visualizing spatial data