Datasets:
Tasks:
Image-to-3D
Size:
1K<n<10K
ArXiv:
Tags:
mathematics
partial-differential-equations
computational fluid dynamics
physics
neural operator
DOI:
License:
Update README.md
Browse files
README.md
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@@ -46,6 +46,12 @@ inverse cascade.
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- [The classical Kolmogorov inverse cascade with a solenoidal forcing and small drag.](https://github.com/scaomath/torch-cfd/blob/main/examples/Kolmogrov2d_rk4_cn_forced_turbulence.ipynb)
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- [The fast training using the data with a small number of vortices.](https://github.com/scaomath/torch-cfd/blob/main/examples/ex2_SFNO_train_fnodata.ipynb)
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- [The fast converging to the inverse cascade.](https://github.com/scaomath/torch-cfd/blob/main/examples/ex2_SFNO_5ep_spectra.ipynb)
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## Dataset Structure
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- [The classical Kolmogorov inverse cascade with a solenoidal forcing and small drag.](https://github.com/scaomath/torch-cfd/blob/main/examples/Kolmogrov2d_rk4_cn_forced_turbulence.ipynb)
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- [The fast training using the data with a small number of vortices.](https://github.com/scaomath/torch-cfd/blob/main/examples/ex2_SFNO_train_fnodata.ipynb)
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- [The fast converging to the inverse cascade.](https://github.com/scaomath/torch-cfd/blob/main/examples/ex2_SFNO_5ep_spectra.ipynb)
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- **Note:** Due to the change of how `torch.load()` treat serialization, the data would not be loaded directly by calling `torch.load`. If you plan to use it, you can add the following code after the imports:
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```python
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torch.serialization.add_safe_globals([defaultdict])
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torch.serialization.add_safe_globals([list])
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```
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## Dataset Structure
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