NatLabRockies / sup3r
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
Why this job: works in the areas we cover, but does not say which job it does
What it does
Developed by NLR, Sup3r is open-source software that transforms coarse, low-resolution data into actionable and accessible hyper-local data at unprecedented speed and scale.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 8 days ago
- Stars
- 144
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.2.8
- Released 6 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 86% closed
- 5 still open
- Pull requests
- 274 merged
- 1 waiting
- Releases
- 25
- 5 in the last year
- No contributing guide
- No security policy
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- climate-change
- climate-data
- deep-learning
- downscaling
- generative-adversarial-network
- machine-learning
- reanalysis
- renewable-energy
- severe-weather
- solar-energy
- tensorflow
- urban-heat-island
Project record
- JobOther AI tools
- StatusListed
- Commits3,520
- Forks32
- Watching12
- Stars in 28 days+2
- CreatedOct 28, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026