Description

The documentation should provide tutorials for common use cases, such as creating a custom (coupling/autoregressive) flow, training with the forward and backward KL, performing importance sampling, adding preprocessing transformations, and maybe training a CNF with a flow-matching loss.

These tutorials can be Jupyter notebooks and can either be included in the documentation with myst-nb or linked from the repository.