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instaseis

Instant high-frequency seismograms from an AxiSEM database

jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

jupyterview

VTK Data visualization extension for JupyterLab

k223d

Create a stochastic slip distribution with k2 amplitude spectra on an unstructured mesh

kboids

kiknetapi

kiknet database api

kokkos-acoustic-renu

kokkos-proj-tmpl

A minimal cmake based project skeleton for developping a kokkos application

kokkos-tutorials

Tutorials for the Kokkos C++ Performance Portability Programming EcoSystem

lasif

An End-to-end Workflow for Adjoint Full Seismic Waveform Inversions

leopardpan.github.io

个人博客，看效果进入

machine_learning_earthquake_rupture

This repository contains python codes to classify earthquake rupture based on random forest and neural network.

mcmc_fortran_library

Suite of adaptive MCMC routines in Fortran

meml

Mixed Effect Machine Learning

meshassist

MeshAssist is a collection of tools which assists meshing of complex and realistic 2D/3D models for FEM/SPECFEM simulations. As its name suggests, it is NOT a meshing software. It is only a meshing assistant!

mess_2019

Tutorials for MESS 2019

mfem

Lightweight, general, scalable C++ library for finite element methods

miniweather

A parallel programming training mini app simulating weather-like flows

ml-youtube-courses

A repository to index and organize the latest machine learning courses found on YouTube.

ngmm_tools

Tools for Developing Nonergodic Ground Motion Models

nonerggmm_italy

nonergodicgmm_public

nonergodicgmms_stan_inla

nonergodicsd

nshm-2010

Input files for the National Seismic Hazard Model 2010 (Stirling et al. 2012)

nshm-nz-opensha

NSHM NZ Programme opensha applications (patterned on opensha-ucerf3 & opensha-dev)

nshmp-haz

National Seismic Hazard Mapping Project (NSHMP) Code

obspydmt

A Python Toolbox for Retrieving, Processing and Management of Seismological Datasets

ofcmodel

Numerical simulation of Olami-Feder-Christensen model

okada_jupyter

Okada fault modeling to fit GPS data in Jupyter