Organization, Discovery and Collaboration
Curate your models in a central dashboard that facilitates model discovery across all your ML projects
Track, deploy, and manage models through the development lifecycle and integrate with CI/CD solutions like Heroku
Unifying ML projects with DevOps
Manage model lifecycle through Git commits and tags, unifying ML projects with the best DevOps practices every step of the way
Build your model registry on top of Git
- Which model version is currently in production?
- Who created this model version and when?
- Which code and dataset was used to train it?
- Who put this model into production?
- and more.