Diviyan Kalainathan diviyank

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1. Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

   Python 1.2k 201

2. Replication code for the article "Learning Functional Causal Models with Generative Neural Networks"

   Python 100 38

3. Code for the Structural Agnostic Model (https://arxiv.org/abs/1803.04929)

   Python 54 10

4. Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

   Python 666 147

5. Goal is to find the optimal dependency criterion for a dataset

   Jupyter Notebook 1

6. A python interface for clusters under SLURM.

   Python 2