UNITY Network Modeling Repository

Welcome to the UNITY Network Modeling Repository 👋

This repository is part of the UNITY Network, a global initiative to improve child health through the use of ultra-low-field MRI and other accessible neuroimaging tools. Here, researchers and developers collaborate to share, test, and improve code for modeling data across diverse populations and contexts.

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🌍 Purpose

The UNITY Network spans many research sites worldwide, working together to ensure that advances in neuroimaging are globally inclusive and locally relevant.

This repository provides a shared workspace where contributors can:

• Upload and maintain code for data modeling cognitive outcomes.
• Share best practices and examples for reproducible research.
• Collaborate on common tools and pipelines, reducing duplication of effort across sites.

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📂 Repository Structure

unity-modeling/
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├── models/         # Scripts and code for specific modeling approaches
├── data/           # Example or synthetic datasets for testing
├── utils/          # Helper functions (I/O, preprocessing, visualization, etc.)
├── notebooks/      # Jupyter notebooks for exploration, tutorials, or demos
├── docs/           # Documentation and guidelines
└── tests/          # Unit and integration tests