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All small projects that need a place to live, live here. Optimization, numerical methods, graph theory, and more.
Bayesian filtering on disperse curve using rayleigh waves
Borehole-Temperature-Inversion (BTI)
A Python Package for seismic ambient noise cross-correlation and the frequency-Bessel transform method
Dataset and utilities for research on localizing ground penetrating radar (GPR).
Convolutional Neural Network for Earthquake detection and location
Benchmark problems for DENISE-Black-Edition and GERMAINE
2D time-domain isotropic (visco)elastic FD modeling and full waveform inversion (FWI) code for SH-waves
Direct inversion of surface dispersion data based on ray tracing
GOLEM is a numerical simulator for modelling coupled Thermo-Hydro-Mechanical processes in faulted geothermal reservoirs.
This GPR Subsurface Diagnosis (GPR-SD) dataset is collected by the Ground Penetrating Radar (GPR) along the roads (cement and asphalt roads), with antennas of frequencies from 200 to 400MHZ.
gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)
Matlab application to find main frecuency of groud from earthquake acceleration data
A program which performs magnetic inversion with L1-L2 norm regularization
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
Matlab code for inversion of Rayleigh phase velocity, with GUI and new options
12 weeks, 24 lessons, classic Machine Learning for all
A muti-resolution seismic attenuation tomography code - currently in its 2.0 release
Individual collecting material of learning git(有关 git 的学习资料)
Code for geophysical 2D Finite Difference modeling, 2d/3D x-w migration and utilities
Acoustic orthorhombic waveform inversion
Selection of maltab tools useful for seismology
Pixel-wise dense prediction or image segmentation of subsurface seismic images for the detection of salt using CNNs.
Seismic fault detection in real data using Transfer Learning from a Convolutional Neural Network pre-trained with synthetic seismic data -- Authors: Axelle Pochet, Augusto Cunha, Helio Lopes, Marcelo Gattass
A Matlab toolbox for sampling inverse problems with complex priors
classifying sources in seismic data using machine learning (uses Scattering Transform package by Joan Bruna and Stephane Mallat, and K-Wave (kwave.org))
compute surface wave dispersion curves in python using Herrmann's codes
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.