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GitHub / equinor / sti

An investigation into the feasibility of using deep neural networks for local planning problems in well trajectory engineering.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/equinor%2Fsti

Stars: 4
Forks: 1
Open Issues: 9

License: other
Language: Python
Repo Size: 47 MB
Dependencies: 3

Created: almost 4 years ago
Updated: 7 months ago
Last pushed: over 3 years ago
Last synced: 5 months ago

Commit Stats

Commits: 122
Authors: 1
Mean commits per author: 122.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/equinor/sti

Topics: data-science, deep-neural-networks, ml, trajectory, trajectory-optimization, well, wellbore

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