PlotNeuralNet
LaTeX code and Python interface for creating publication-quality neural network architecture diagrams.
What is PlotNeuralNet?
PlotNeuralNet is a LaTeX-based tool for creating neural network architecture diagrams. It provides TikZ code and a Python interface to programmatically generate clean, publication-ready visualizations of deep learning models. The project solves the problem of manually drawing complex network architectures for academic papers and presentations.
Researchers, academics, and students writing papers about neural networks who need professional diagrams. Also useful for developers creating documentation for deep learning frameworks.
It produces vector-based diagrams that scale perfectly for publications, offers programmatic generation through Python, and ensures consistent styling across all network visualizations—saving time compared to manual drawing tools.
Overview
Latex code for making neural networks diagrams
Use Cases
Best For
- Creating neural network diagrams for academic papers and theses
- Generating consistent architecture visualizations for research presentations
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