Tutorials

Welcome to the wandb-fortran tutorials! These guides will help you get started with using wandb-fortran in your Fortran-based neural network training projects. The tutorials are framework-agnostic, so you can apply the same principles regardless of the ML library you use — whether it’s [athena](https://github.com/nedtaylor/athena), [neural-fortran](https://github.com/modern-fortran/neural-fortran), [fiats](https://github.com/BerkeleyLab/fiats), or something else.

Advanced features like sweeps are also covered, so you can perform hyperparameter optimisation with wandb without leaving your Fortran code.

Using wandb-fortran with different frameworks:

• athena Example
• neural-fortran Example
• fiats Example

Advanced wandb-fortran features:

• Sweep Example