⬢github Python · 2 ★ · pushed 3 d ago · MIT
mottopanikeiku/doomformer
Neural networks computed by DOOM's game mechanics: voodoo dolls, conveyor belts, lava and doors. Every value checked bit-exact.
DOOMFORMER implements neural networks purely with DOOM's game mechanics: numbers are crowds of voodoo dolls on conveyor belts, matrix multiplies cross lava lines, and attention squeezes under doors. All computed values are verified bit-exact against a NumPy integer reference, and demos include an MNIST digit reader played inside the game and a transformer built into a DOOM level.
Why now: Featured on Hacker News ('I built a neural network using DOOM games'), a novel esoteric-computing demo with watchable films and a Colab notebook.
Who it is for: Curious developers and esoteric-computing fans who enjoy unconventional computing demos in DOOM.
doomesoteric-computinggame-mechanicsmnistneural-networkspythontransformervizdoomvoodoo-dolls
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