This project aims to automate the conversion of ONNX models into TikZ code, facilitating the creation of visually appealing diagrams in LaTeX documents. Leveraging Python for ONNX parsing and manipulation, alongside LaTeX and TikZ for rendering, this tool streamlines the process of visualizing neural network architectures for academic papers, presentations, and educational materials
Automated ONNX2TikZ: Generating LaTeX-TikZ Diagrams of Neural Networks
📋 Type
Project
⚡ Status
finished
📅 Duration
Apr 15, 2024 – Oct 15, 2024
👤
Primary supervisor
Linda-Sophie Schneider
🎓 Student
Yu Gao
Computer Science M.Sc