The purpose of this project is to illustrate how to use the causact library to build some simple models. Causact allows you to create Bayesian models, and uses the greta library to do the computations. Well, not really - greta just sets them up, and uses TensorFlow underneath.
The cool thing is with causact you can describe your model as a
graph, like this: 
and it automatically generates the greta code which you can run to get estimates of everything.
And here is some causact translation of greta examples.