awesome-latex-drawing
A collection of 30+ LaTeX drawing examples for Bayesian networks, graphical models, tensors, and academic illustrations.
What is awesome-latex-drawing?
Awesome LaTeX Drawing is a collection of over 30 LaTeX code examples for creating professional academic illustrations. It solves the problem of drawing complex diagrams like Bayesian networks, graphical models, and tensor structures in LaTeX by providing reusable, well-documented templates. These examples help researchers and students produce publication-ready graphics without starting from scratch.
Researchers, graduate students, and academics in fields like machine learning, statistics, and data science who need to create technical illustrations for papers, theses, or presentations using LaTeX.
Developers choose this project because it offers a curated set of real-world, peer-reviewed examples that are immediately usable. It saves significant time compared to searching for scattered TikZ/pgfplots solutions and ensures visual consistency with academic publishing standards.
Overview
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Use Cases
Best For
- Creating Bayesian network diagrams for machine learning papers
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