Tutorials

Follow step-by-step tutorials to learn how to use metatensor classes to store your own data, including complex sparsity patterns and gradients handling.

Once you understand the core concepts, you can explore more advanced tutorials about creating custom ML models using tools from metatensor-learn.

First steps with metatensor

First steps with metatensor

Handling sparsity

Handling sparsity

Managing gradients

Managing gradients

Working with arbitrary types and devices

Working with arbitrary types and devices

Controlling missing data with fill_value

Controlling missing data with fill_value