- The code for incentive-aware financial network models
          
          
          
 
          - The SURE code for fair classification without knowledge of demographics
          
          
          
 
          - The NEWS code for node embeddings in sparse networks
          
          
          
 
          - The DIRECT code for classification from few positive examples
          
          
          
 
          - The AlphaRob code for constructing portfolios with high out-of-sample Sharpe ratios
          
          
          
 
          - The ROLIN code for robust linear classification from limited training data
          
          
 
          - Community detection in large graphs
            
              - SVM-Cone (overlapping communities; all low-rank models)
                
                
              
 
              - SPACL (for the Mixed Membership Stochastic Blockmodel)
                
                
              
 
              - GeoNMF (non-negative matrix factorization for the Mixed Membership Stochastic Blockmodel)
                
                
              
 
              - CrossAssociations/AutoPart (parameter-free)
                
                
              
 
            
           
          - The NetMine package for extracting patterns from large graphs
            
            
            
           
          - The F4 non-linear time series forecasting package