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.

xarray accessor for automating choosing colormaps, aimed at geosciences

Badlands workshop & examples

OpenGeode module for Geosciences

Interactive geoscience (mostly) analytic functions.

Removing the spatial aliasing in the seismic data using Deep Learning Super-resolution

Badlands pre & post-processing

Python package to simulate wave-dominated shallow-marine environments using Storms (2003)'s BarSim

Website for Initiative "Reproducible Research" @ AGILE conference

Docker image for badlands