  CausalML is a Python implementation of algorithms related to causal inference
and machine learning. Algorithms combining causal inference and machine
learning have been a trending topic in recent years. This package tries to
bridge the gap between theoretical work on methodology and practical
applications by making a collection of methods in this field available in
Python. This paper introduces the key concepts, scope, and use cases of this
package.
