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  1. Naive-VS-Efficient-Clustering-Comparison Naive-VS-Efficient-Clustering-Comparison Public

    Code for comparing naive and efficient undirected likelihood, modularity, and Louvain Method clustering on a user-supplied network

    C++

  2. Naive-VS-Efficient-Clustering-Comparison-LFR Naive-VS-Efficient-Clustering-Comparison-LFR Public

    Code for comparing naive and efficient undirected likelihood, modularity and Louvain Method clustering. Automatically generates, and tests objective functions on, LFR benchmark networks.

    C++

  3. Likelihood-Based-Directed-Network-Clustering Likelihood-Based-Directed-Network-Clustering Public

    Code for comparing directed likelihood and directed modularity on user-supplied directed networks or automatically generated LFR benchmark directed networks.

    C++

  4. Proofs-for-Improving-Computational-Performance Proofs-for-Improving-Computational-Performance Public

    This supplementary paper contains the proofs for the theorems presented in the article: Ballard, A, Perry, MB. Improving computational performance in likelihood-based network clustering. Stat. 2019…

  5. Training-Intelligent-Red-Team-Agents-Via-Deep-Reinforcement-Learning Training-Intelligent-Red-Team-Agents-Via-Deep-Reinforcement-Learning Public

    Code for executing simulations used in the "Training Intelligent Red Team Agents Via Deep Reinforcement Learning" project

    Jupyter Notebook