This looks like uplift modeling is estimating the CATE/ITE using ML methods. If that’s the case, you could look into the S/T/X-Learners in this package. Instead of using tree-based learners, it uses extreme learning machines, which have less hyperparameters to tune and also perform well on a lot of tasks. That being said, right now you can get the CATE/uplift but I haven’t implemented the bootstrapping procedure for p-values and confidence intervals yet.
Also, this is still really new and should be on the general registry in a few days.