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Research into using Machine Learning to hallucinate circuit board schematics

JavaScript 0.01% KiCad Layout 99.78% Jupyter Notebook 0.22% Shell 0.01%

dreammachines's Introduction

#Dream Machines

Sandbox repo for experimentation using machine learning to hallucinate circuit board schematics. Impenitrable code at the moment, but check back soon for progress updates.

See data/sch for ~4,450 (135MB) schematic files that I scraped using the GitHub API. I Should be able to scrape significantly more in the future if need be.

See data/samples for generated schematic files created using torch-rnn (char-rnn).

Files can (sometimes) be opened using KiCad eeschema.

More soon...

dreammachines's People

Contributors

brannondorsey avatar

Stargazers

Justin Goldberg avatar  avatar  avatar Charles avatar Frank Rodriguez avatar  avatar  avatar Ignas Urba avatar Xiaobo avatar Andrew Monks avatar

Watchers

Cristiano Gavião avatar James Cloos avatar  avatar  avatar  avatar

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