Downloads (Paper, Code, Data, etc.)
- Towards A Polyglot Framework for Factorized ML
David Justo, Shaoqing Yi, Lukas Stadler, Nadia Polikarpova, and Arun Kumar
VLDB 2021 (Industrial Track; to appear) | Paper PDF | TechReport | Talk video
- Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra
Side Li, Lingjiao Chen, and Arun Kumar
ACM SIGMOD 2019 | Paper PDF and BibTeX | Code and Data on Github
- Towards Linear Algebra over Normalized Data
Lingjiao Chen, Arun Kumar, Jeffrey Naughton, and Jignesh Patel
VLDB 2017 | Paper PDF | TechReport
- MorpheusPy: Factorized Machine Learning with NumPy
Side Li, Arun Kumar
TechReport
- MorpheusFlow: a case study of learning over joins with TensorFlow
Side Li, Arun Kumar
TechReport
- MorpheusR Code on GitHub (R library for normalized matrix and factorized LA; example factorized ML algorithms)
- MorpheusPy Code on GitHub (Python library for normalized matrix and factorized LA; example factorized ML algorithms)
- MorpheusFlow Code on GitHub (TensorFlow extension for lazy joins over relational data)
- Real-world datasets (Based on the Project Hamlet datasets)