kgruiz/PlotNeuralNet
PlotNeuralNet is a Python package for generating high-quality neural network architecture diagrams using predefined or custom layer templates, seamlessly integrating Python and LaTeX. It includes pre-built resources for popular architectures like AlexNet and FCN, making it ideal for research papers and presentations.
This tool helps researchers and educators create professional, high-quality diagrams of neural network architectures for papers, presentations, and reports. You provide details about your network layers (like convolution, pooling, or custom blocks) either through a Python script or by editing a LaTeX file, and it generates a polished PDF image of the network. It's designed for anyone needing clear visual communication of complex deep learning models.
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Use this if you need to visually explain the structure of a neural network in a publication or presentation and want precise, publication-ready diagrams.
Not ideal if you're looking for a drag-and-drop visual builder or a tool that automatically infers network architecture from code without explicit definition.
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TeX
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Last pushed
Dec 05, 2024
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