ML Visuals provides a collaborative, open-source collection of professional figures and templates for the machine learning community to enhance scientific communication. It offers over 100 reusable and customizable visuals for presentations and blog posts, aiming to improve the clarity and impact of technical content.

How It Works

The project maintains its visuals within Google Slides, allowing for easy access, customization, and contribution. Users can download figures in various formats or fork the slides to adapt them. The approach leverages a community-driven model, encouraging contributions of new figures and basic visual components to a shared library.

Quick Start & Requirements

• Access visuals via Google Slides.
• No specific software installation required for viewing/downloading.
• Customization may require a Google account.
• Contribution guidelines are available in the repository.

Highlighted Details

• Over 100 community-contributed figures available.
• Visuals are free to use, reuse, and customize without explicit permission, though attribution is encouraged.
• Project actively seeks contributions for common ML concepts (e.g., neural networks, CNNs, RNNs, Transformers).

Maintenance & Community

• A collaborative effort by the dair.ai community.
• Discord server available for community interaction and support.
• Project roadmap and ongoing tasks can be found in the issues tab.

Licensing & Compatibility

• Visuals are open for reuse and customization.
• No explicit license is stated in the README, but the description implies permissive use. Attribution is encouraged.

Limitations & Caveats

The project is described as "new" with "significant updates" planned, suggesting potential for ongoing changes. While visuals are provided via Google Slides, direct integration into code or automated workflows is not explicitly supported.