Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
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Updated
Oct 19, 2024
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
High-performance Terrain and Hydrology Analysis
🌍 Python package of VTK-based algorithms to analyze geoscientific data and models
Basin and Landscape Dynamics model
Numba-accelerated computation of surface wave dispersion
Inversion of dispersion curves using Evolutionary Algorithms
The Basic Model Interface is a standardized set of functions allowing coupling of models to models and models to data
This repo contains the database and supporting materials for Deep-Learning Seismology
i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
Python for Geosoft GX Developer
GebPy is a Python-based, open source tool for the generation of geological data of minerals, rocks and complete lithological sequences. The data can be generated randomly or with respect to user-defined constraints, for example a specific element concentration within minerals and rocks or the order of units within a complete lithological profile.
Badlands workshop & examples
xarray accessor for automating choosing colormaps, aimed at geosciences
Interactive geoscience (mostly) analytic functions.
Badlands pre & post-processing
Removing the spatial aliasing in the seismic data using Deep Learning Super-resolution
Python package to simulate wave-dominated shallow-marine environments using Storms (2003)'s BarSim
📈 Collect and archive the metaheuristic algorithms and their applications in geophysics.
Website for Initiative "Reproducible Research" @ AGILE conference
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