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- Université Paris-Saclay, France
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"
Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)
Goal is to find the optimal dependency criterion for a dataset
Datasets used for the paper : "SAM: Structural Agnostic Model, Causal Discovery and Penalized Adversarial Learning"
A python interface for clusters under SLURM.
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