circuitnet/CircuitNet
CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
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.
Stars
455
Forks
72
Language
Python
License
BSD-3-Clause
Category
Last pushed
Jul 17, 2025
Commits (30d)
0
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