Python library for reading and writing well data using Log ASCII Standard (LAS) files

List of resources for mineral exploration and machine learning, generally with useful code and examples.

Python library for mineral prospectivity mapping

Simple web-application of classification of stream sediments utilizing K-means Clustering, Plotly and Geopandas.

A QGIS plugin for mineral prospectivity mapping

Simple routine to read a GOCAD SG Grid in ASCII

Ninhursag is a visual mineral resource index based on US Geologic Survey statistics. Find the new frontend at: https://github.com/peterhil/ninhursag-site

Mineral Prediction based on Prototype Learning

A python script to calculate reflectance/radiance from ASTER L1T hdf files

Geo-Hgan: Unsupervised anomaly detection in geochemical data via latent space learning

Deprecated - see https://github.com/RichardScottOZ/geoscience-data-utils

MZ-GPU-Miner

Objetivo principal dessa api, e a  listagem de informações químicas sobre os minerais, suas peculiaridades e principais  diferenças da sua modularidade e a  importância das reações químicas presentes em seus estados iniciais e finais 

A package to extract information from drillholes to feed 3D modelling packages

Automatic rock core sample marker. Inspired by Exploration Geologist and Core Logger.

MZ-GPU-Miner

A Blender add-on with a collection of tools for 3D geological modelling, primarily designed for mineral exploration. It allows the import and visualization of drill holes and related interval data, point data, generation of simple block models, grade shell meshes, and integrates with the GemPy module for implicit geological modelling

A program for prediction of new mineral perspective areas

GloVe and BERT language models re-trained using geological text.

Simple example of WoE modelling in python