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GitHub / RichardScottOZ / mineral-exploration-machine-learning

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

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RichardScottOZ%2Fmineral-exploration-machine-learning

Stars: 129
Forks: 21
Open Issues: 0

License: None
Language:
Repo Size: 430 KB
Dependencies: 0

Created: almost 2 years ago
Updated: about 1 month ago
Last pushed: about 1 month ago
Last synced: about 1 month ago

Commit Stats

Commits: 854
Authors: 6
Mean commits per author: 142.33
Development Distribution Score: 0.098
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/RichardScottOZ/mineral-exploration-machine-learning

Topics: artificial-intelligence, copper, data, data-science, deep-learning, geochemistry, geology, geophysics, geoscience, lithology, machine-learning, mineral-exploration, minerals, modelling, nickel, nlp, prospectivity, rocks, spectral-unmixing, stratigraphy

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    No dependencies found