Information-Theoretic Causal Inference on Event Sequences
MIT License
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about ...
In which I play with the ideas surrounding causality
Replication materials for inferring the causal effect of journals on citations
Python framework for inference in Hawkes processes.
Solving the causality pairs challenge (does A cause B) with ChatGPT
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
Information-Theoretic Causal Inference on Discrete Data
Library to conduct experiments in population dynamics.
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...
A Python library that helps data scientists to infer causation rather than observing correlation.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and ...
Uplift modeling and causal inference with machine learning algorithms
Tools for causal analysis
DoWhy is a Python library for causal inference that supports explicit modeling and testing of cau...