UnionMLis an open-source MLOps framework built on top of Flyte for creating web-native machine learning applications. It unifies the rapidly evolving ecosystem of ML and data tools into a single interface for bundling Python functions into ML microservices.
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Hey @ketanumare, your Solution looks great. Developing and training models, as well as all related coding, often require a lot of effort and time that can be saved. In my case, I also use tools like Tensorflow and AWS SageMaker, but still have to do a lot around, therefore I'll definitely try your package to speed up the microservice release.
Congrats!
Best,
Giuseppe
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@giuseppe_di_nuccio thank you for the gracious reply. Unionml is built on Flyte.org and you can simply scale to
Using sagemaker etc. check
Out Flyte docs
The clear abstraction of building, running and scaling your ML apps through this framework makes it much easier for ML and data scientist to iterate faster
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To focus on building machine learning models using *any tool* without contemplating how to *scale* and *serve* the models expedites the MLOps cycle which in turn facilitates building and productionizing machine learning models. UnionML just does that.
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We are not creating yet another package, but a package to unify many different awesome ML tools
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