iao VS pyconar-talk

Source (libre/free licensed): https://github.com/abetusk/iao/tree/main/like-go-up

One of the better ones I've found is Tyler Hobbes [0].

I recently found the "Bridges Archive" online [1]. It's a goldmine of ideas (I won't link to them but they have tilings, space filling algorithms, multi-scale Truchet patterns and many more).

I favor the ideas rather than the implementation as I already know how to program so you may do better with learning something like processing/p5.js [2].

In terms of raw ideas, I've found Jared Tarbell to be a huge inspiration [3] [4].

I'm sure I'll get lashed on here for the mere mention of NFTs but I've found there are consistently awesome generative art being displayed on Twitter for artists showing their work and advertising their NFTs for sale. One resource that I've found to be pretty consistently good is fxhash.xyz [5] [6]. Looking for #fxhash tags on Twitter will probably give you rich results.

I also have my own NFTs whose source code I've released as CC0 if you want to take a look [7] (none are for sale right now) along with a half assed attempt at making a list of resources for generative art [8].

There's plenty of "awesome" generative art lists [9] as well as many examples and other projects on p5.js [2]. And of course there's always Reddit [10] [11].

Oh and "Coding Train" is deceptively deep, packing complex ideas in a kind of "cutesy" veneer but still managing to tackle topics that run the gamut of easy to incredibly difficult [12].

There's really too many resources to list. It depends on what level you're at. I tend to focus on Javascript and the 'ideas' rather than the implementation so much. If you're starting from a point of learning programming, you're probably better off going through a tutorial or two on how to actually program and then try and tackle some "classic" generative art examples (grids, recursive grides, flow fields, etc.).

I occasionally run into people who have all their experiments on GitHub which might be enlightening [13].

[0] https://tylerxhobbs.com/essays

[1] https://archive.bridgesmathart.org/#gsc.tab=0

[2] https://p5js.org/examples/

[3] http://www.complexification.net/gallery/

[4] http://levitated.net/

[5] https://www.fxhash.xyz/

[6] https://twitter.com/fx_hash_

[7] https://github.com/abetusk/iao

[8] https://github.com/abetusk/iao/blob/main/Notes.md

[9] https://github.com/kosmos/awesome-generative-art

[10] https://www.reddit.com/r/generative

[11] https://www.reddit.com/r/proceduralgeneration/

[12] https://www.youtube.com/channel/UCvjgXvBlbQiydffZU7m1_aw

[13] https://github.com/anaulin/generative-art

Source Code (CC0 Licensed)

I mentioned it in my other comment but the code is CC0 so please feel free to use it (even for commercial purposes, no need to give credit). There's also a 'boilerplate' project that just displays some simple shapes but provides a skeleton of a project to spring off from, which can be found here (it's pretty rough but maybe it's good enough to get you started).

Start by copying some existing example code and running it locally, then edit it and see what changes. Comment pieces out, look at the results. Change magic numbers to understand the effect. It probably has some calls to a random number generator in it; add more calls to the random number generator.

There are lots of examples bundled with Proce55ing, on Shadertoy, on bl.ocks.org, on ObservableHQ, on Jared Tarbell's website, in the Coding Train vlog, etc. My own repo of examples using Python and PyGame is at https://github.com/kragen/pyconar-talk, but I've also done examples like http://canonical.org/~kragen/sw/dev3/tweetfract.html with (you have to click on the invisible to see it) and http://canonical.org/~kragen/sw/dev3/plotiir.html. Start with small things.

There's probably some kind of awesome example repo out there for deepdream ANN stuff but I don't know what to recommend.

But that's just where to start. Once you're doing stuff you'll want to understand what you're doing and learn about more techniques (algorithmic, software design, and interfaces to libraries and devices) so you can expand your range. There's lots of resources out there (Tarbell in particular has given an hour lecture you can find on YouTube about what techniques he finds useful) but I can suggest:

∙ Many instances of the same thing that differ by incrementing a variable. For example, you can create 64 particles that move from point A to point B at successive points in time 30 milliseconds apart, or at the same point in time at 64 different velocities, or 64 Bezier curves from point A to point B that start at 64 angles evenly spaced around a circle.

∙ Adding randomness to things. Adding randomness to pixel colors gives you "graininess"; adding randomness to object positions gives you spatial dispersion or, if the randomness varies over time, jittering; adding randomness to the angles of different objects gives you visual variety.

(to be continued)