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@genomicsxai

genomicsxai

GenomicsXAI

GenomicsXAI is a shared, unaffiliated GitHub organization dedicated to advancing the field of genomics-informed machine learning and explainable AI (XAI).

Our goal is to provide a neutral, community-driven space where researchers can collaboratively develop, maintain, and improve open tooling, benchmarks, and infrastructure relevant to genomics models and interpretability research to understand the cis-regulatory code.

This organization is not affiliated with any single lab, institution, or company.

Mission

The organization exists to:

  • Consolidate reusable infrastructure for genomics ML and XAI.
  • Enable community-driven development of fine-tuning, evaluation, and interpretability tools.
  • Reduce duplicated engineering effort across labs.
  • Promote reproducibility and transparent benchmarking.
  • Encourage cross-framework interoperability (e.g., JAX, PyTorch).
  • We prioritize practical tooling that benefits the broader research community.

Contribution Model

All repositories under this organization are intended to be:

  • Community-maintained
  • Open to pull requests
  • Designed for extensibility and reproducibility

We encourage:

  • Bug fixes
  • Performance improvements
  • New training strategies
  • Improved evaluation pipelines
  • Documentation enhancements
  • Cross-framework ports
  • Reproducibility improvements

Contributors should:

  • Use clear, modular design patterns.
  • Include documentation and minimal working examples.
  • Provide reproducible training or evaluation scripts.
  • Add unit tests where possible.

Each repository may define additional contribution guidelines specific to its scope.

Adding a Repository

If you would like to contribute a repository to this organization:

  • Transfer your existing repo into this org or
  • Open a pull request to add a new repository

In your PR, briefly describe:

  • What the repository does
  • Who will help maintain it

The license

  • Repositories should provide clear value to the genomics ML / XAI community and be open to community contributions.
  • If you are unsure whether your project is a good fit, open a draft PR and start the discussion there.

Governance

This organization follows a lightweight governance model:

  • Repository maintainers are responsible for reviewing and merging PRs.
  • Maintainers are expected to act in the interest of the broader community.
  • No single lab controls the direction of the organization.
  • Major architectural changes should be discussed via issues before implementation.
  • If a repository becomes inactive, additional maintainers may be added.

Access

Some repositories may initially be private (e.g., due to ongoing development or licensing constraints).

If access is required:

  • Add your GitHub username in the repository settings (if enabled), or
  • Open an issue requesting access.

The long-term goal is to make infrastructure broadly accessible whenever possible.

Licensing

Each repository defines its own license. We strongly encourage permissive open-source licenses to maximize reuse and collaboration.

Citation & Attribution

If you use tools developed under this organization:

  • Cite the associated papers where applicable.
  • Acknowledge the repository and contributors in derivative work.

Community credit and transparency are core values.

  • Contact

For general discussion, suggestions, or coordination:

  • Open an issue in this repository.
  • Use repository-specific issues for technical matters.

Genomics foundation models and XAI tooling will benefit from shared engineering infrastructure. This organization exists to make that collaboration practical and sustainable.

We welcome contributions!

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