RichardScottOZ/mineral-exploration-machine-learning
List of resources for mineral exploration and machine learning, generally with useful code and examples.
This resource helps geologists and exploration managers discover potential mineral deposits by providing a curated list of machine learning and data science tools. It offers practical examples, code, and frameworks for tasks like prospectivity mapping, geological interpretation, and remote sensing analysis. The input is various geological and geospatial datasets, and the output helps identify high-potential areas for mineral exploration.
299 stars.
Use this if you are a geologist, geoscientist, or exploration manager looking for machine learning resources to enhance mineral exploration workflows, from data analysis to prospectivity mapping.
Not ideal if you are looking for a plug-and-play software application, as this is primarily a curated list of tools, code, and academic resources requiring some technical expertise.
Stars
299
Forks
53
Language
—
License
—
Category
Last pushed
Mar 11, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/RichardScottOZ/mineral-exploration-machine-learning"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
seisbench/seisbench
SeisBench - A toolbox for machine learning in seismology
petrobras/GeoSlicer
Open source digital rocks software platform for micro-CT, CT, thin sections and borehole image...
thilowrona/seismic_deep_learning
A couple of python scripts to interpret geological structures from geophysical images using deep learning
microsoft/seismic-deeplearning
Deep Learning for Seismic Imaging and Interpretation
sede-open/synthoseis
Generating seismic data and associated labels to train deep learning networks.