Pinned Repositories
Likelihood-Based-Directed-Network-Clustering
Code for comparing directed likelihood and directed modularity on user-supplied directed networks or automatically generated LFR benchmark directed networks.
Naive-VS-Efficient-Clustering-Comparison
Code for comparing naive and efficient undirected likelihood, modularity, and Louvain Method clustering on a user-supplied network
Naive-VS-Efficient-Clustering-Comparison-LFR
Code for comparing naive and efficient undirected likelihood, modularity and Louvain Method clustering. Automatically generates, and tests objective functions on, LFR benchmark networks.
Proofs-for-Improving-Computational-Performance
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; 8:e256. https://doi.org/10.1002/sta4.256
Training-Intelligent-Red-Team-Agents-Via-Deep-Reinforcement-Learning
Code for executing simulations used in the "Training Intelligent Red Team Agents Via Deep Reinforcement Learning" project
alanballard's Repositories
alanballard/Likelihood-Based-Directed-Network-Clustering
Code for comparing directed likelihood and directed modularity on user-supplied directed networks or automatically generated LFR benchmark directed networks.
alanballard/Naive-VS-Efficient-Clustering-Comparison
Code for comparing naive and efficient undirected likelihood, modularity, and Louvain Method clustering on a user-supplied network
alanballard/Naive-VS-Efficient-Clustering-Comparison-LFR
Code for comparing naive and efficient undirected likelihood, modularity and Louvain Method clustering. Automatically generates, and tests objective functions on, LFR benchmark networks.
alanballard/Proofs-for-Improving-Computational-Performance
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; 8:e256. https://doi.org/10.1002/sta4.256
alanballard/Training-Intelligent-Red-Team-Agents-Via-Deep-Reinforcement-Learning
Code for executing simulations used in the "Training Intelligent Red Team Agents Via Deep Reinforcement Learning" project