TurboML-Inc/demos
Demos using TurboML!
This project helps data scientists and machine learning engineers build and deploy systems that learn from constantly changing data, like stock prices or live sensor readings. You provide streaming data and, in return, get models that continuously adapt and provide predictions with minimal delay. This is for anyone who needs their machine learning models to stay accurate and responsive in dynamic, real-time environments.
No commits in the last 6 months.
Use this if you need to build machine learning models that make predictions using the freshest available data and must adapt instantly to new trends or anomalies.
Not ideal if your data changes infrequently or your applications can tolerate predictions based on models that are updated only periodically.
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Last pushed
Jan 23, 2025
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