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For publications, see [QLKNN overview](../QLKNN-overview).
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## Code and data:
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- Training set: https://doi.org/10.5281/zenodo.3497065
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# Code and data:
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- Training set is still under development. Ask @Karel-van-de-Plassche for access.
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- Fortran driver with Python and Matlab wrappers: https://gitlab.com/qualikiz-group/QLKNN-fortran
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- Weights and biases (for fortran) are namelists, and need [git LFS](https://git-lfs.github.com/) to pull in the QLKNN-fortran repo above
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- Weights and biases (for fortran) are namelists, and need [git LFS](https://git-lfs.github.com/) to pull. They are not available yet.
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- Pure-python driver (developer code): https://gitlab.com/qualikiz-group/QLKNN-develop
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- Weights and biases (for pure-python): https://gitlab.com/qualikiz-group/qlknn-hyper
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## Integrated modelling runs
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### Appeared in Journal Publications |
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# Integrated modelling runs
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## Appeared in Journal Publications |
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