unionml

It's very early days for this project, so if you're interested in getting involved or learning more, you can go to the: - Docs: https://unionml.readthedocs.io/en/latest/ - Repo: https://github.com/unionai-oss/unionml - Slack: https://flyte-org.slack.com/archives/C03JL38L65V - Product Hunt: https://www.producthunt.com/posts/unionml

Hi HN! Niels here. I'm the creator of UnionML (https://github.com/unionai-oss/unionml), a Python MLOps framework that removes the boilerplate and friction associated with building and deploying machine learning systems to production. I've been training and deploying models for almost a decade now, and one pain-point I've consistently had is managing the complexity of building and maintaining an ML stack that works for the entire model development lifecycle - from prototyping to production. UnionML is built on top of Flyte (https://www.flyte.org) and exposes a functional interface for defining the building blocks of your ML application via decorators -- think Flask or FastAPI method endpoints -- and UnionML takes care of bundling them into microservices for different use cases such as: - model training - batch prediction - online predictio