List of resources for mineral exploration and machine learning, generally with useful code and examples.
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Updated
Oct 5, 2026
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Basin and Landscape Dynamics model
Stratigraphic pick prediction via supervised machine-learning
python port of the USGS bedforms software tool
R package for archaeological stratigraphy and chronological sequences
Badlands workshop & examples
Badlands pre & post-processing
Python package to simulate wave-dominated shallow-marine environments using Storms (2003)'s BarSim
Stratrigraphy simulation solver for the GeoStats.jl framework
Repository of upcoming abstract submission deadlines for geoscience conferences
Markov chain simulator in a sequence stratigraphic framework
A Python toolkit for pairwise stratigraphic correlation analysis among sediment cores and well-log data
This repository contains RDF data and Javascript (Vue.js) code used to generate the online official International Chronostratigraphic Chart
Well logs correlation using dynamic time warping
Plot stratigraphic columns with python.
A simple reactjs module for creating graphical representations of stratigraphies
Docker image for badlands
Open-source 3D geological & geotechnical modelling from borehole logs in the browser: enter your own boreholes and soil parameters, or import CSV, AGS4, BRO, DOV and Japanese XML; stratigraphy, cross-sections, groundwater and effective stress on real maps. WebGPU/three.js, no install.
a paleocurrent plotter for plotting a histogram and a rose diagram out of paleocurrent direction values given in azimuth degrees
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