Information-Theoretic Causal Inference on Discrete Data
MIT License
Tools for causal analysis
Solutions to some of the problems in "Statistical Rethinking"
Information-Theoretic Causal Inference on Event Sequences
General statistics, mathematical programming, and numerical/scientific computing scripts and note...
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Generate Diverse Counterfactual Explanations for any machine learning model.
A Python library that helps data scientists to infer causation rather than observing correlation.
BAyesian Model-Building Interface (Bambi) in Python.
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Decorator for PyMC3
In which I play with the ideas surrounding causality
Solving the causality pairs challenge (does A cause B) with ChatGPT
Uplift modeling and causal inference with machine learning algorithms
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure re...
DoWhy is a Python library for causal inference that supports explicit modeling and testing of cau...