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GitHub / RolnickLab / constrained-downscaling
A project on how to incorporate physics constraints into deep learning architectures for downscaling or other super--resolution tasks.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RolnickLab%2Fconstrained-downscaling
Stars: 51
Forks: 3
Open Issues: 4
License: None
Language: Python
Repo Size: 107 KB
Dependencies: pending
Created: over 1 year ago
Updated: about 2 months ago
Last pushed: 11 months ago
Last synced: about 1 month ago
Commit Stats
Commits: 43
Authors: 4
Mean commits per author: 10.75
Development Distribution Score: 0.07
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/RolnickLab/constrained-downscaling
Topics: climate, downscaling, emulation, physics-constrained, super-resolution