Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome
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Updated
May 2, 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
Python for Geosoft GX Developer
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
Badlands workshop & examples
Interactive geoscience (mostly) analytic functions.
i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses
Badlands pre & post-processing
This repository contains a Python script that uses the Plotly library to create an interactive web-based application for plotting seismic data sections from SEG-Y files.
This repo contains the database and supporting materials for Deep-Learning Seismology
Website for Initiative "Reproducible Research" @ AGILE conference
Open source Windows Application in Python for Geosciences, Artificial Intelligence and Data Sciences - Initial stages, 2021
Lecture notes and notebooks for statistical data analysis and machine learning in Earth science
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.
Extract Transform Load (ETL) Python tools for Geospatial data
Python package to simulate wave-dominated shallow-marine environments using Storms (2003)'s BarSim
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