Snorkel Flow is a platform built by the original creators of the Snorkel Research Project, incorporating years of experience from applying weak supervision and programmatic labeling concepts to real-world ML problems.
In Snorkel Flow, users can label and manage data programmatically, train models and identify model error modes to iteratively improve them in a rapid, data-centric workflow, using both SDK and no-code interfaces.
This shortens the development cycle and improves application quality significantly while also making it easier to manage bias and adapt to changes in production data or business objectives.
Snorkel Flow is used by some of the world’s most advanced organizations in banking, insurance, biotech, telecommunications, and several government agencies.
Training dataset management
Model training and analysis
Application and model serving
Train custom models using Python