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Contributing to MLPro Lab

We appreciate your interest in contributing to MLPro Lab!
This repository is curated by the MLPro team and is intended to provide high-quality, executable resources for users and developers.

What we accept

We welcome contributions that fit into one of the following categories:

  • 🧩 HowTos – new executable tutorials or improvements to existing ones
  • 📐 Benchmark Scenarios – well-defined evaluation setups
  • 🔨 Benchmark Tests – reproducible experiments for performance comparison

Contribution checklist

  • ✅ Your code is clean, documented, and runnable
  • ✅ Follows the folder structure and naming conventions of MLPro Lab
  • ✅ Includes a short README or docstring for context
  • ✅ All required dependencies are listed in a requirements.txt (if needed)

How to contribute

  1. Fork the repository
  2. Create a new branch: feature/your-topic
  3. Add your contribution
  4. Submit a pull request

We will review contributions and may contact you for clarification or integration support.

Thank you!
– The MLPro Team