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Data-driven synthesis of broadband earthquake ground motions using artificial intelligence
Magnetotelluric modeling for anisotropic Earth
Analysis and model development focused on occupant behavior
Automatic Surface Wave Two-station Dispersion Analysis (Matlab GUI)
RELM, RKELM, RESN, RSVR
Copy of code from Berkeley Earth Surface Temperature take on 2012-06-08
A Matlab borehole radar/seismic tomography package
regional geothermal flow modeling using MRST
A Matlab toolbox for sampling inverse problems with complex priors
CM-GAN for Image Inpainting
CNN-POCS algorithm for seismic data interpolation
Matlab code for forward modelling of electrical and electromagnetic measurements on a 1D layered half-space
A package for crustal anisotropy estimation with receiver function
HSI image decomposition using Non-subsampled contourlet transform (NSCT)
Seismic data interpolation. C++ implementation.
Deep Learning RF Interpolation for Compressive Ultrasound Imaging
frequency-velocity domain representation of seismic data
A repository to all my codes related to dissipativity and passivity analysis in linear and nonlinear systems.
A fast implementation of synchrosqueezing transform based on downsampling scheme.
This project implements two dynamic spatiotemporal interpolation (DST) methods, i.e., coarse-grained DST (CGDST) and fine-grained DST (FGDST) using both temporal and spatial interpolation results. Different from other hybrid spatiotemporal interpolation methods, they make differences in the contribution of temporal and spatial interpolation results
MATLAB code for an iterative reconstruction method that alternates a computationally efficient linear solver (ART) with a fast denoising step based on the Split Bregman formulation
The ElasticMatrix software uses the partial-wave method to model elastic wave propagation in multilayered anisotropic media.
Time series prediction based on support vector regression
Inversion of dispersion curves using Evolutionary Algorithms
Fast and adaptive multivariate empirical mode decomposition (FA-MVEMD) contains a family of functions aimed at decomposing data sets of 1, 2 and 3 dimensional nature. The algorithm is based on the work presented in M. R. Thirumalaisamy, P. J. Ansell, ‘Fast and Adaptive Empirical Mode Decomposition for Multidimensional, Multivariate Signals’, IEEE S
finite difference wave propagation in 2D for Matlab. Both SH and P-SV, with forward and adjoint calculations and the possibility to compute kernels
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.