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Developed ML model (Random Forest) to predict circuit delay/power from design parameters achieving R² > 0.95 on Nangate 45nm library, enabling 100× faster design space exploration vs. SPICE simulation
What it does
This repository features a machine learning model that predicts circuit delay and power consumption for VLSI design, achieving over 97% accuracy. It significantly accelerates design space exploration, making it 100 times faster than traditional SPICE simulations.
Why it matters: Transform your VLSI design process with this ML model that predicts circuit performance 100x faster than SPICE!
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