PLCnext/MLnext-Framework
MLnext Framework is an open source framework for hardware independent execution of machine learning using Python and Docker. It provides machine learning utilities.
This framework helps industrial engineers and operations managers use machine learning to improve factory operations. It takes raw factory data, like sensor readings or production logs, and helps process, analyze, and visualize it to identify inefficiencies, predict maintenance needs, or detect anomalies. The output is actionable insights that lead to better productivity and system availability in a digital factory.
No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly implement and deploy machine learning solutions across various hardware in a production environment to solve real-world industrial challenges.
Not ideal if your primary goal is academic research or developing cutting-edge machine learning algorithms, as this framework focuses on practical deployment in industrial settings.
Stars
12
Forks
—
Language
Python
License
MIT
Category
Last pushed
Mar 03, 2025
Commits (30d)
0
Dependencies
9
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