S.Mostafa Mousavi (smousavi05)

smousavi05

Geek Repo

Company:Google, Stanford University

Location:California, Palo Alto.

Home Page:https://www.mostafamousavi.com/

Twitter:@smousavi05

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S.Mostafa Mousavi's repositories

EQTransformer

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

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STEAD

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

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Unsupervised_Deep_Learning

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

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dl_seismology

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

License:MITStargazers:38Issues:3Issues:0

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.

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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.

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Designaling-GCVwavelet-Reverse

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

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Deep-Bays-Loc

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

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Awesome-Earth-Artificial-Intelligence

A curated list of Earth Science's Artificial Intelligence (AI) tutorials, notebooks, software, datasets, courses, books, video lectures and papers. Contributions most welcome.

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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.

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DeepDenoiser

DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

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HinetPy

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

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seisbench

SeisBench - The Seismology Benchmark collection

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3D-Machine-Learning

A resource repository for 3D machine learning

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BlocklyEQTransformer

A Python Toolbox for Customizing Seismic Phase Pickers

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easyQuake

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

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GaMMA

GaMMA: Earthquake Phase Association using a Bayesian Gaussian Mixture Model

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Keras-GAN

Keras implementations of Generative Adversarial Networks.

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kymatio

Wavelet scattering transforms in Python with GPU acceleration

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pygmt

A Python interface for the Generic Mapping Tools

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QuakeFlow

QuakeFlow: A Scalable Deep-learning-based Earthquake Monitoring Workflow with Cloud Computing

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ahmedbesbes

My Github stats

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MALMI

MAchine Learning aided earthquake MIgration location

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SiameseEarthquakeTransformer

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.'

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