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https://github.com/fhswf/mlpro-test-center

MLPro Test Center – Howtos and benchmarking tools for MLPro components and algorithms
https://github.com/fhswf/mlpro-test-center

benchmark-framework best-practices machine-learning mlpro-extension python

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MLPro Test Center – Howtos and benchmarking tools for MLPro components and algorithms

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# MLPro Test Center – Howtos and benchmarking tools for MLPro components and algorithms

This repository is maintained by the MLPro team and provides two core building blocks:

- 📚 **Howtos** – executable guides for working with MLPro modules, tools, and configurations
- 📊 **Benchmarking Suite** – a structured system for evaluating MLPro setups, including:
- **Benchmark Scenarios** – predefined configurations for standardized testing
- **Benchmark Tests** – executable cases to compare algorithms and measure performance

All content is developed and maintained to showcase selected features, evaluate algorithms, and document recommended workflows.

### 📚 Howtos
...

### 📊 Benchmarking Suite
...

### 🔗 See also

[MLPro - The integrative middleware framework for standardized machine learning in Python](https://mlpro.readthedocs.io/)

[South Westphalia University of Applied Sciences, Dept. of Automation Technology and Learning Systems](https://www.fh-swf.de/de/forschung___transfer_4/labore_3/labs/labor_fuer_automatisierungstechnik__soest_1/standardseite_57.php)

### 🤝 How to contribute

We welcome community contributions that align with our structure and quality standards.

Before submitting a pull request, please read our [contribution guidelines](./CONTRIBUTING.md).