Data Sciences and Machine Learning Systems
The goal of our research is to improve the usability of modern machine learning platforms. We tackle different aspects of this fundemental and emerging problem: from speed & scalability, automation, to process management and human interaction. We tackle each aspect with one umbralla system, which is often a collaborative efforts involving multiple DS3Lab members and (international) collaborators.
- Ease.ml: End-to-end Process Management for Machine Learning
- Zip.ml: Eco-system Friendly Scalable Learning w/ Modern Hardware
- Passive.ml: Observational & Passive Supervision
- sh¡ft!: Transfer Learning-Centric ML Platform