List of resources for mineral exploration and machine learning, generally with useful code and examples.
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Updated
Jun 19, 2024
List of resources for mineral exploration and machine learning, generally with useful code and examples.
Python library for mineral prospectivity mapping
A QGIS plugin for mineral prospectivity mapping
Investigate possibilities for Vision Transformers with multiscale grids
Python library for reading and writing well data using Log ASCII Standard (LAS) files
Geo-Hgan: Unsupervised anomaly detection in geochemical data via latent space learning
Some geoscience analysis helper functions
Mineral Prediction based on Prototype Learning
Simple example of WoE modelling in python
Data analysis from an international cross survey collaboration
A package to extract information from drillholes to feed 3D modelling packages
Simple routine to read a GOCAD SG Grid in ASCII
Forward modeling, inversion, and processing gravity and magnetic data
GloVe and BERT language models re-trained using geological text.
Ninhursag is a visual mineral resource index based on US Geologic Survey statistics. Find the new frontend at: https://github.com/peterhil/ninhursag-site
Awesome lunar geoscience project and lunar resource preparation
A program for prediction of new mineral perspective areas
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