Athur11

Athur11's Stars

• zhong-yy/volpick

  This repository contains the final models and the code to reproduce the model (downloading waveforms, formatting data into seisbench format, training and evaluating deep-learning phase pickers).

  Language:Jupyter Notebook7

• seisbench/pick-benchmark

  This repository contains a benchmark of deep learning pickers

  Language:Jupyter Notebook308

• maihao14/QuakeLabeler

  QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

  Language:Python224

• smousavi05/EQTransformer

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

  Language:Python307150

• seisbench/seisbench

  SeisBench - A toolbox for machine learning in seismology

  Language:Jupyter Notebook26881

• AI4EPS/EQTransformer

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

  Language:Python1

• wanghaoyucn/geophy-diy

  Introduction and tips for geophysics research skills and knowledge (especially for seismology)

  Language:HTML2

• PKUFlyingPig/cs-self-learning

  计算机自学指南

  Language:HTML56.3k6.8k

• wanghaoyucn/seismologybookMATLABcode

  a part of MATLAB code in Introduction to Seismology by Wan Yongge

  Language:MATLAB146

• ecastillot/PhaseNet

  Language:Python2

• AI4EPS/PhaseNet

  PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method

  Language:Python260109

• sixu0/PLAN4Earthquake_Monitoring

  Code of 'An all-in-one seismic phase picking, location, and association network for multi-task multi-station earthquake monitoring'

  Language:Python281

• fritzwill/root-finding-methods

  Utilizing root-finding methods such as Bisection Method, Fixed-Point Method, Secant Method, and Newton's Method to solve for the roots of functions

  Language:Python125

• interseismic/HypoSVI

  Hypocentral earthquake location using Stein-variational gradient descent and deep neural network travel-time formulations

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