Neural General Circulation Models for Weather and Climate
NeuralGCM is a Python library for building hybrid ML/physics atmospheric models for weather and climate simulation.
- Paper
- Documentation
- License:
- Code: Apache License, Version 2.0
- Trained model weights: Creative Commons Attribution-ShareAlike 4.0 International.
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Metadata
Release files for neuralgcm 1.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| neuralgcm-1.2.2.tar.gz | 2.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| neuralgcm-1.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 5.2 MB
Release files / neuralgcm-1.2.2.tar.gz
| Download URL | neuralgcm-1.2.2.tar.gz |
|---|---|
| Size | 2.6 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.13
|
Release files / neuralgcm-1.2.2-py3-none-any.whl
| Download URL | neuralgcm-1.2.2-py3-none-any.whl |
|---|---|
| Size | 2.7 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.11.13
|