Getting Started

This section walks you through everything you need to go from zero to a trained Physics-Informed Neural Network. Follow the pages in order.

New to PINNs?

If you've never worked with Physics-Informed Neural Networks before, start with the PINN Primer for a conceptual introduction to differential equations, inverse problems, and how PINNs solve them.

• Installation

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  Install the anypinn CLI with pip or uv.

  Install

• First Project

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  Scaffold, configure, and train your first PINN in under 5 minutes.

  Create a project

• Understanding the Output

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  What the training logs, checkpoints, and prediction files mean.

  Read the output

• Next Steps

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  Where to go after your first successful run.

  Next steps