Does anyone have some tf/Keras best practices lists or examples?

I’m mostly looking for things like how to properly define your
models (for example how to define your model classes or functions
in order to have a cleaner project, how to manage hyperparameters
as inputs for the definition of your models,…), how to do the
train (should I implement a function/class for the training part?).
Thanks.