Dungeons and Dragons creatures, generated by neural network
The game Dungeons and Dragons has all sorts of lists of spells and abilities you can use for gameplay. I trained an algorithm called a recurrent neural network to generate more spells - like Barking Sphere, Hold Mouse, and Gland Growth. Then, with a larger set of spells in my training dataset, I trained a better neural net that generated even more - like Song of the Dave, Summon Ass, and Shield of Farts.
It turns out that in addition to spellbooks, Dungeons and Dragons also has monster manuals - books full of the names and descriptions of creatures that adventurers can encounter. Colin Fredricks, who created the RPG Sufficiently Advanced, was kind enough to send me the names of 2,205 creatures from the 2nd edition monster manual.
As I had hoped, the neural network generated creatures that would probably be pretty awesome.
Owlborn
Cat, Stone
Vampire Bear
Kick Spirit
Hatfright
Purple Bird
Slug, Spectral
Wolf, Chromatic
Golem, Rain
Human, Crystal
Hound, Plant
Fish, Astro-
Wolfworm
Ogre, Space
Dog, Goblin
Serpent Shark
Mommy, Greater
Giant, Dunebat
Cloud of Chaos
It also generated some creatures that you should probably run from until you figure out what they are. (Though Dome Animal might simply be a cool turtle)
Brain, Fire
Horse (Spider, Brain
Undead Lake Man, Fire
Walfablang
Fraithwarp, Giant
Fish, Sun of
Lycanthrope, Wereladoo
Pat, Great, Space
Shadowstaffer
Spectral Woof Greepy
Jabberwont
Animal, Dome
Dwarf, Giant
Burglestar
Pigaloth
Beeple, Desert
Wendless Woll
Memeball
Marraganralleraith
There were 118 dragons in the original dataset, so of course the neural net liked generating new dragons. Some perhaps better-conceived than others.
Dragon, Death Seep
Dragon, Purple Fang
Dragon, Curple Lard
Dragon, Dead
Big Dragon
Will O’Dragon
And it generated new unicorns!
Unicorn, Fumble
Unicorn, Bat
Unicorn, Black Willow
Unicorn, Sith Sheet
These might be possible misses, though.
Man-Can
Barber
Beet
Skull
Feast, Stone
Peg, Brown
Kurt
Durp Snake
Golf
Vampire, Putter
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