Accelerated Bayesian Causal Forests (XBCF) is a model for conditional average treatment effect estimation; the paper is available here. The StochasticTree repository has become the new home for XBCF: it provides both R and Python implementations and is actively maintained.

Please visit https://github.com/StochasticTree/stochtree-cpp for the most recent version of XBCF, as this repository is no longer being maintaned.