2 layers20 × 20 mm
Voltage datalogger adc0
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
9 parts76MIT
Placement
13 boardsKiCad boards from 2 GitHub repositories tagged “placement”, the most starred first; open any of them in PCBKit.
- 4 layers57 × 47.5 mm
Rp2040 debugger
elcruzo/learned-pcb-placement
GNN-guided simulated annealing for PCB component placement. We train a Graph Attention Network on SA rollout data to learn which components to move and where, then use these predictions to bias the SA search.
69 parts2MIT - 2 layers20 × 20 mm
Bistable oscillator with 555 timer and ldo 2lyr setup 00
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
6 parts76MIT - 2 layers20 × 20 mm
PModBoard
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
5 parts76MIT - 2 layers20 × 20 mm
Tc logger max232
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
5 parts76MIT - 2 layers20 × 20 mm
Tc logger max31856
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
8 parts76MIT - 2 layers20 × 20 mm
Tc logger mcu
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
4 parts76MIT - 2 layers20 × 20 mm
Tc logger silabs
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
8 parts76MIT - 2 layers20 × 20 mm
Voltage datalogger adc2
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
3 parts76MIT - 2 layers20 × 20 mm
Voltage datalogger afe
LukeVassallo/RL_PCB
RL_PCB is a novel learning-based method for optimising the placement of circuit components on a Printed Circuit Board (PCB).
9 parts76MIT - 2 layers120 × 27.3 mm
Keyboard rev0
elcruzo/learned-pcb-placement
GNN-guided simulated annealing for PCB component placement. We train a Graph Attention Network on SA rollout data to learn which components to move and where, then use these predictions to bias the SA search.
37 parts2MIT - 2 layers87.6 × 30.5 mm
Mmdvm hotspot
elcruzo/learned-pcb-placement
GNN-guided simulated annealing for PCB component placement. We train a Graph Attention Network on SA rollout data to learn which components to move and where, then use these predictions to bias the SA search.
21 parts2MIT - 2 layers25.9 × 17.3 mm
Snapvcc
elcruzo/learned-pcb-placement
GNN-guided simulated annealing for PCB component placement. We train a Graph Attention Network on SA rollout data to learn which components to move and where, then use these predictions to bias the SA search.
26 parts2MIT