circuitnet/CircuitNet

CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

49
/ 100
Emerging

This project provides a comprehensive dataset and code for applying machine learning to electronic circuit design. It takes in circuit layout information (like LEF/DEF files and netlists) and helps predict potential issues such as congestion, design rule violations, IR drop, and net delay, which are critical for integrated circuit (IC) designers. The primary users are researchers and practitioners in Electronic Design Automation (EDA) looking to leverage AI for chip optimization.

455 stars. No commits in the last 6 months.

Use this if you are developing or evaluating machine learning models for predicting physical design metrics like congestion, IR drop, or timing in VLSI circuits.

Not ideal if you are looking for a plug-and-play tool for general circuit simulation or design, as this is primarily a dataset and codebase for ML research in EDA.

VLSI Design Chip Design Electronic Design Automation (EDA) Physical Design Verification Circuit Performance Prediction
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

455

Forks

72

Language

Python

License

BSD-3-Clause

Last pushed

Jul 17, 2025

Commits (30d)

0

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