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Trace

5 boards

KiCad boards from 2 GitHub repositories tagged “trace”, the most starred first; open any of them in PCBKit.

  • 8 layersRoyalBlue54L Feather, the printed circuit board in 3D

    RoyalBlue54L Feather

    buildwithtrace/trace-public

    Official source code of Trace, an AI-native PCB design tool.

    2 parts57GPL-3.0
  • 4 layers57 × 47.5 mmRp2040 debugger, the printed circuit board in 3D

    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 layers120 × 27.3 mmKeyboard rev0, the printed circuit board in 3D

    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 mmMmdvm hotspot, the printed circuit board in 3D

    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 mmSnapvcc, the printed circuit board in 3D

    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