• Elementary: a storage manager for scalable statistical inference and learning.
  • Tuffy: an efficient RDBMS-based Markov logic network inference engine.
  • Felix: a relational optimizer for statistical infererence.
  • Staccato: gives Hazy the the ability to ingest and to query optical character recognition, speech, and sensor data.
  • CRFlex: optimizing statistical Information Extraction over evolving text.
  • Hazy-Classify: integrates Classification into an RDBMS with efficient support for incremental maintenance.
  • Demo - WiscI / DeepDive: an encyclopedia by the machines, for the people, using Felix.
  • Victor-SQL: scalable numeric optimization with an RDBMS.
  • Columbus: declarative framework for feature selection in an RDBMS.
  • Bismarck: the successor to Victor-SQL.
  • HOGWILD!: parallelize incremental gradient algorithms without locks.
  • HottTopixx: scalable nonnegative matrix factorization.
  • Jellyfish: large-scale matrix completion parallelized.
  • App - IceCUBE: victor heading the South Pole for science!