NeuralGCM
A package for building hybrid ML+Physics atmospheric models for weather and climate simulations.
https://github.com/google-research/neuralgcm
Category: Climate Change
Sub Category: Earth and Climate Modeling
Last synced: about 2 hours ago
JSON representation
Issue and Pull Request metadata
Last synced: over 1 year ago
Total issues: 60
Total pull requests: 139
Average time to close issues: 19 days
Average time to close pull requests: 6 days
Total issue authors: 23
Total pull request authors: 7
Average comments per issue: 2.87
Average comments per pull request: 0.08
Merged pull request: 64
Bot issues: 0
Bot pull requests: 124
Past year issues: 60
Past year pull requests: 139
Past year average time to close issues: 19 days
Past year average time to close pull requests: 6 days
Past year issue authors: 23
Past year pull request authors: 7
Past year average comments per issue: 2.87
Past year average comments per pull request: 0.08
Past year merged pull request: 64
Past year bot issues: 0
Past year bot pull requests: 124
Top Issue Authors
- weatherforecasterwhai (15)
- leanderloew (7)
- GanZhang-GFD (3)
- ShihengDuan (2)
- snumuchan (2)
- yuliang954 (2)
- shoyer (2)
- ShileiCao (1)
- alxmrs (1)
- ricardobarroslourenco (1)
- ZoudaLevy (1)
- YohanAbeysinghe (1)
- smhenry2 (1)
- joshdorrington (1)
- 2095099596 (1)
Top Pull Request Authors
- copybara-service[bot] (126)
- shoyer (6)
- kochkov92 (1)
- SaptarishiD (1)
- axsaucedo (1)
- dependabot[bot] (1)
- efesurekli (1)
Top Issue Labels
- enhancement (1)
Top Pull Request Labels
- pull ready (7)
- dependencies (1)
Package metadata
- Total packages: 1
- Total downloads: unknown
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 0
spack.io: py-neuralgcm
NeuralGCM: Hybrid ML + Physics model of Earth's atmosphere.
- Homepage: https://github.com/google-research/neuralgcm
- Licenses: []
- Latest release: (published 2 days ago)
- Last Synced: 2026-08-21T00:20:57.691Z (2 days ago)
- Versions: 0
- Dependent Packages: 0
- Dependent Repositories: 0
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Rankings:
- Dependent repos count: 0.0%
- Average: 27.807%
- Dependent packages count: 55.613%
Score: -Infinity