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1. Learning the set-wise causal structure of the Earth system using hypergraphs, outperforming pairwise models in explaining climate tipping points and enabling transportable counterfactual forecasts

   Python

2. Forked from aimacode/aima-python

   Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

   Jupyter Notebook

4. Forked from py-why/causal-learn

   Causal Discovery in Python. Translation and extension of the Tetrad Java code.

   Python

6. Forked from uber/causalml

   Uplift modeling and causal inference with machine learning algorithms

   Python