microsoft/AutoBrewML
With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
This framework helps data scientists and machine learning engineers quickly build and deploy machine learning models. It takes raw, messy datasets and automatically prepares the data, engineers features, and selects the best model, outputting a production-ready ML model with integrated telemetry and Power BI visualizations. This is ideal for teams looking to streamline their end-to-end machine learning pipeline.
No commits in the last 6 months. Available on PyPI.
Use this if you need to rapidly develop and productionize machine learning models from diverse datasets, without extensive manual data preparation or model selection.
Not ideal if you prefer complete manual control over every step of data preparation, feature engineering, and model architecture selection.
Stars
25
Forks
31
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 03, 2023
Commits (30d)
0
Dependencies
13
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