Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure re...
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt P...
In which I play with the ideas surrounding causality
Tools for causal analysis
A Python library that helps data scientists to infer causation rather than observing correlation.
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about ...
DoWhy is a Python library for causal inference that supports explicit modeling and testing of cau...
Statistical Rethinking (2nd ed.) with NumPyro
Solutions and workflow for the Bayesian Statistics The Fun Way book in Python
General statistics, mathematical programming, and numerical/scientific computing scripts and note...
A collection of analytics methods implemented with Python on Google Colab
Replication materials for inferring the causal effect of journals on citations
Uplift modeling and causal inference with machine learning algorithms
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Python Data Science Handbook: full text in Jupyter Notebooks