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mlpro-test-center

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

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

Science Score: 75.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ✓
    DOI references
    Found 3 DOI reference(s) in README
  • ✓
    Academic publication links
    Links to: zenodo.org
  • ○
    Academic email domains
  • ✓
    Institutional organization owner
    Organization fhswf has institutional domain (fh-swf.de)
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (9.8%) to scientific vocabulary

Keywords

benchmark-framework best-practices machine-learning mlpro-extension python
Last synced: 6 months ago · JSON representation ·

Repository

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

Basic Info
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 1
  • Releases: 2
Topics
benchmark-framework best-practices machine-learning mlpro-extension python
Created 8 months ago · Last pushed 8 months ago
Metadata Files
Readme Contributing License Citation

README.md

DOI

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

South Westphalia University of Applied Sciences, Dept. of Automation Technology and Learning Systems

🤝 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.

Owner

  • Name: Fachhochschule Südwestfalen
  • Login: fhswf
  • Kind: organization
  • Location: Iserlohn, Germany

Wir geben Impulse!

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
title: "Github repository fhswf/MLPro-Lab"
authors:
- family-names: "Arend"
  given-names: "Detlef"
  orcid: "https://orcid.org/0000-0002-8315-2346"
  affiliation: "South Westphalia University of Applied Sciences, Germany"
- family-names: "Yuwono"
  given-names: "Steve"
  orcid: "https://orcid.org/0000-0001-7570-2726"
  affiliation: "South Westphalia University of Applied Sciences, Germany"
- family-names: "Schwung"
  given-names: "Andreas"
  orcid: "https://orcid.org/0000-0001-8405-0977"
  affiliation: "South Westphalia University of Applied Sciences, Germany"
license: "Apache-2.0"
version: "0.1.0"
date-released: 2025-06-21
#doi: 10.5281/zenodo.6653484
url: "https://github.com/fhswf/MLPro-Best-Practices"

GitHub Events

Total
  • Release event: 2
  • Public event: 1
  • Push event: 1
  • Create event: 4
Last Year
  • Release event: 2
  • Public event: 1
  • Push event: 1
  • Create event: 4

Dependencies

benchmarking/setup.py pypi
pyproject.toml pypi
requirements.txt pypi
setup.py pypi