LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
This project helps electrical engineers and PCB designers automatically optimize the placement of components on a Printed Circuit Board. It takes your circuit design specifications and component lists as input and produces an intelligently arranged PCB layout, leading to more efficient designs and shorter wiring paths. This is ideal for those involved in physical PCB layout design and manufacturing.
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Use this if you need an automated, intelligent way to place electronic components on a PCB, especially for complex layouts where minimizing wire length and avoiding overlaps are critical.
Not ideal if you prefer manual component placement for very simple boards or if you need a full-fledged EDA suite for an entire chip design workflow.
Stars
52
Forks
20
Language
Python
License
MIT
Category
Last pushed
Jun 18, 2024
Commits (30d)
0
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