- 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