This repository contains all three libraries necessary for training Deep Causal Graphs (DCG), models for causal query estimation without estimands.
The "thesis" release includes a zip file with all experiments included in the dissertation.
Install all three libraries here included with pip (preferably using a virtual environment) in the following order:
pip3 install -e torch-misc
pip3 install -e flow
pip3 install -e dcg
We have created a tutorial for the dcg library, which you can find in the tutorial/ folder.