awesome-latex-drawing

Why we included this project

Anyone who has tried to draw a clean Bayesian network or tensor diagram for a paper will see the point of this collection right away. It gathers 30+ worked LaTeX examples, each tied to a real published method, spanning Bayesian networks, graphical models, pgfplots function plotting, and tikz-3dplot tensor structures. Instead of offering one generic template, it shows the preamble and body code behind each figure, so you can see which tikz libraries and commands actually produce the effect. Because the examples come from real spatiotemporal and tensor-factorization papers, they are concrete enough to adapt into publication-quality figures of your own. Treat it as a reference gallery and learning resource rather than a tool you run; it is a good starting point when you need a figure style to build on.