Pinned Repositories
ASKI
ASKI main package: seismic Full Waveform Inversion and sensitivity analysis based on waveform sensitivity kernels
DENISE-Black-Edition
2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for P/SV-waves
flexi
Open Source High-Order Unstructured Discontinuous Galerkin Fluid Dynamics Solver
FWI
RTM
GERMAINE
2D frequency-domain acoustic/SH/TE-mode FD modelling and full waveform inversion (FWI) code
gp257-class
Introduction to Computational Earth Sciences (GEOPHYS-257, Winter 2023 at Stanford)
Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
SeisSol
A scientific software for the numerical simulation of seismic wave phenomena and earthquake dynamics
lmeng0203's Repositories
lmeng0203/SeisSol
A scientific software for the numerical simulation of seismic wave phenomena and earthquake dynamics
lmeng0203/ASKI
ASKI main package: seismic Full Waveform Inversion and sensitivity analysis based on waveform sensitivity kernels
lmeng0203/DENISE-Black-Edition
2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for P/SV-waves
lmeng0203/flexi
Open Source High-Order Unstructured Discontinuous Galerkin Fluid Dynamics Solver
lmeng0203/FWI
RTM
lmeng0203/GERMAINE
2D frequency-domain acoustic/SH/TE-mode FD modelling and full waveform inversion (FWI) code
lmeng0203/gp257-class
Introduction to Computational Earth Sciences (GEOPHYS-257, Winter 2023 at Stanford)
lmeng0203/Hands-on-Machine-Learning
A series of Jupyter notebooks with Chinese comment that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
lmeng0203/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
lmeng0203/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
lmeng0203/NEXD-3D
3D solver of the NEXD package
lmeng0203/nodalDG
Nodal discontinuous Galerkin methods
lmeng0203/numpy-ml
Machine learning, in numpy
lmeng0203/obspy
ObsPy: A Python Toolbox for seismology/seismological observatories.
lmeng0203/pynamical
Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.
lmeng0203/seismic_cpml
SEISMIC_CPML is a set of sixteen open-source Fortran90 programs to solve the two-dimensional or three-dimensional isotropic or anisotropic elastic, viscoelastic or poroelastic wave equation using a finite-difference method with Convolutional or Auxiliary Perfectly Matched Layer (C-PML or ADE-PML) conditions, developed by Dimitri Komatitsch and Roland Martin from CNRS, France.
lmeng0203/SeismicPackage
Open source seismic packages collected from varieties of websites
lmeng0203/SeismicPackage-1
Just some random seismic algorithms. Ray tracing, wave propagation, time processing, etc... I hope it is useful for somebody.
lmeng0203/specfem2d
SPECFEM2D simulates forward and adjoint seismic wave propagation in two-dimensional acoustic, (an)elastic, poroelastic or coupled acoustic-(an)elastic-poroelastic media, with Convolution PML absorbing conditions.
lmeng0203/specfem3d
SPECFEM3D_Cartesian simulates acoustic (fluid), elastic (solid), coupled acoustic/elastic, poroelastic or seismic wave propagation in any type of conforming mesh of hexahedra (structured or not). It can for instance model seismic waves propagating in sedimentary basins or any other regional geological model following earthquakes. It can also be used for non destructive testing or for ocean acoustics.
lmeng0203/tutorials-2018
Geophysical Tutorials column for 2018