nantu-io/ntcore
Deploy and Monitor ML Model in Any Cloud
This helps data scientists and machine learning engineers manage and deploy their AI/ML models to predict outcomes in real-world applications. You can input trained models from various frameworks like scikit-learn or TensorFlow, and it provides a deployable prediction endpoint and dashboards to monitor performance. It's for anyone needing to efficiently move machine learning models from development to production and keep an eye on how they're performing.
No commits in the last 6 months.
Use this if you need to reliably deploy trained machine learning models into production environments and continuously monitor their performance without extensive DevOps involvement.
Not ideal if you are only experimenting with models locally and do not need to deploy them for real-time predictions or monitor them in a production setting.
Stars
39
Forks
2
Language
Python
License
Apache-2.0
Category
Last pushed
Dec 19, 2022
Commits (30d)
0
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