CV with balanced sampling

[yuehhua]

To avoid training on imbalanced datasets, we usually sample data to a balance manner and ensure that every fold in cv contains all kinds of labels.
I'd like to find API like this, but I find stratified sampling and cross validation independently. Do we have methods to combine them together? Or how to use them collectively?