academic-plotting

What problem does it solve?

Generates publication-quality figures for ML papers by turning narrative context into visual assets, including architecture diagrams via Gemini and data figures via matplotlib/seaborn.

Core Features & Use Cases

• Two distinct workflows:
  • Diagram figures generated through Gemini for architecture, workflow, and system diagrams.
  • Data figures created with matplotlib/seaborn for charts, ablations, and results.
• Reusable templates and style guidance to produce consistent visuals across a paper.
• Real-world example: convert a Methods section description into a ready-to-insert figure showing components and data flow.

Quick Start

Provide a Gemini-generated architecture diagram or a Matplotlib-based data figure from your paper context.