Random collection of 104 standalone TikZ images accumulated over the years. Mostly about physics and machine learning.
Files in /scripts render and compress the standalone .tex files in /assets to various output formats: low + high-res PNG, PDF and SVG. To run them, you need the following dependencies:
To run ilove_pdf_compress.py directly or use it as part of the render_tikz.sh pipeline, you also need a free public API key from https://developer.ilovepdf.com. Add it to a .env in the project's root directory:
touch .env && echo "ILOVEPDF_PUBLIC_KEY=<your key>" >> .env




































































































