Huaco408

Huaco408's Stars

• EZ4BYG/Surface-Wave-Frequency-Dispersion-Curves

  2D Forward Modeling of Surface Waves(Love + Rayleigh) and Forward Modeling of their Dispersion Curves in multi-layer models.

  Language:MATLAB4816

• g2e/seizmo

  passive(ly maintained) seismology toolbox for Matlab & GNU Octave

  Language:Matlab6755

• pengyibodehomepage/FTAN_Python

  Language:Python117

• noisepy/NoisePy

  Ambient-Noise Seismology Package

  Language:Python17376

• Hamzeh-Sadeghi/GSpecDisp

  A Matlab package for phase-velocity dispersion measurement from ambient-noise correlations

  Language:Matlab4226

• ROBelgium/MSNoise

  A Python Package for Monitoring Seismic Velocity Changes using Ambient Seismic Noise | http://www.msnoise.org

  Language:Python17683

• yifanLu18/L1-HRLRT-RFs

  removing surface waves in RFs by using high-resolution Radon transform

  Language:MATLAB93

• resfahani/HRRT

  Linear Radon Transform (Slant stack) and its high-resolution version for dispersion curve estimation

  Language:Python154

• sachalapins/DAS-N2N

  Code repository for paper "DAS-N2N: Machine learning Distributed Acoustic Sensing (DAS) signal denoising without clean data" (https://arxiv.org/abs/2304.08120)

  Language:Jupyter Notebook231

• chenyk1990/dasdenoising-dataonly

  Language:MATLAB74

• eespr/MuLTI

  Multimodal Layered Transdimensional Inversion of Seismic Dispersion Curves with Depth Constraints

  Language:MATLAB1212

• AI4EPS/EQNet

  Language:Jupyter Notebook216

• AmbientNoiseToolS/dvv_models

  Collection of notebooks and scripts to model the time series of dv/v with various mechanisms and perform inversion for unknown parameters.

  Language:Jupyter Notebook1

• wenbowu-geo/SEM_DSM_hybrid

  Language:C2011

• aresmiki/A-case-of-the-intelligent-bearing-fault-diagnosis

  This is a case of bearing fault intelligent diagnosis. The program is written in MATLAB. The main techniques used are feature detection and neural network. This code comes from the undergraduate course assignment. The code has been written for 8 years. Because many students need such a simple case study, so it was sent out

  Language:HTML4918

• deep-learning-with-pytorch/dlwpt-code

  Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

  Language:Jupyter Notebook4.7k2k

• ekaestle/amb_noise_tools

  Python functions to preprocess and correlate ambient-noise data and extract phase-velocity curves

  Language:Python2518

• ShaoboYang-USTC/DisperPicker

  Automatically extracting dispersion curves via deep learning

  Language:Python309

• datamonday/Time-Series-Analysis-Tutorial

  时间序列分析教程

  Language:Jupyter Notebook837206

• apmaes/HD-TMA

  2

• GeoStat-Framework/GSTools

  GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more

  Language:Python56674

• OpenSWPC/OpenSWPC

  A Seismic Wave Propagation Code by Parallel Finite Difference Method

  Language:Fortran13851

• X-H-Yang/Comprehensive-comparison-Rayleigh-wave-inversion-algorithms

  A comprehensive comparison of Rayleigh wave inversion performance is conducted among two bionic algorithms, two probabilistic algorithms, a gradient-based algorithm, and two neural network algorithms

  Language:MATLAB91

• AxiSEMunity/AxiSEM3D

  New AxiSEM3D

  Language:C++3614

• AxiSEMunity/AxiSEM3D-further-examples

  Further examples of AxiSEM3D calculations

  Language:MATLAB33

• JUNZHU-SEIS/USTC-Pickers

  A Unified Set of seismic phase pickers Transfer learned for China

  Language:Python265

• tclements/SeisDvv.jl

  Velocity Change Measurements in Julia

  Language:Julia73

• Divakar-Vashisth/Dispersion_curves_joint_inversion_using_MOGWO

  Language:Jupyter Notebook4

• marscfeng/dcImage4ChengIVDF2023

  MATLAB scripts to illustrate three frequently-used dispersion imaging techniques, MAPS, SPAC and ReMi.

  Language:MATLAB52

• doocs/leetcode

  🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解

  Language:Java31.5k7.3k