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
Date: April 15, 2024 - October 15, 2024
Supervisors: Linda-Sophie Schneider