awslabs/mlmax
Example templates for the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices.
This project offers ready-made templates to quickly build and deploy custom machine learning solutions. It takes your raw data and trained ML models as input and provides a fully operational system that can train, retrain, and use your models in real business applications. ML engineers, data scientists, and DevOps specialists looking to operationalize ML models would use this.
No commits in the last 6 months.
Use this if you need to quickly establish robust, production-ready machine learning pipelines without starting from scratch.
Not ideal if you are looking for a pre-built, off-the-shelf ML model rather than a framework for deploying your own custom solutions.
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75
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Jun 17, 2024
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