Here you can find (just about) all of the diagrams I've ever made in LaTeX using TikZ (and Pgfplots) [WIP].
This is more for my reference than anything, and might not be useful for anyone else at all, but I learned to make these diagrams from example so maybe these will help someone doing the same thing.
The resource I used most when learning was TeXample.net, which has hundreds of TikZ and PGF examples.
Another great resource for anyone who is starting out is the Overleaf guide for LaTeX graphics.
The Wikibooks page for TikZ and PGF is also pretty good.
Some of these diagrams are very poorly done! Especially the earlier ones. They don't take full advantage of many of the powerful features of TikZ, such as \foreach and the calc package. However, I think they are still useful as examples for how to do simple things in TikZ and will be good enough for 90% of cases. If you are wanting to make complex diagrams you should probably look at my more recent work.
Furthermore, I will not be updating old diagrams! The only exception will be to make sure they compile on Overleaf.
Since my earlier work is generally of poorer quality, I'm organizing the diagrams by year then category. Where examples of categories include flow, neural networks, and circuit diagrams. You can also find links to all the diagrams in this table, along with the year, category and a star rating out of 3 representing roughly how well I think the diagram was made.
| Diagram | Category | Year | Rating |
|---|---|---|---|
| Receptive Fields in CNNs 2.0 | Neural Networks | 2019 | ★★ |
| GAN | Neural Networks | 2019 | ★★★ |
| Autoencoder | Neural Networks | 2019 | ★★★ |
| GRU | Neural Networks | 2019 | ★★★ |
| LSTM | Neural Networks | 2019 | ★★★ |
| Receptive Fields in CNNs | Neural Networks | 2019 | ★★ |
| Weight Sharing in CNNs | Neural Networks | 2019 | ★★★ |
