CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)
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Jul 17, 2025 - Python
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ir-drop
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This is a deep-learning based model for Electronic Design Automation(EDA), predicting the IR drop location on the chip.
python machine-learning deep-learning eda pytorch prediction-model electronic-design-automation ir-drop
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Aug 4, 2023 - Python
Entries for the 2023 5th National College Student Integrated Circuit EDA Elite Challenge. SoC chip physical layout static IR drop prediction project based on methods such as image processing and NLP unsupervised learning.
machine-learning word2vec cnn power-network unsupervised-learning pix2pix vlsi-physical-design signoff u-net electronic-design-automation soc-design u-net-pytorch physical-layout-analysis ir-drop
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Aug 12, 2024 - Python
IR drop analysis is a critical step in digital design, focusing on the potential difference (voltage drop) between two points in a conducting wire due to its resistance. This phenomenon, described by Ohm's Law (V=IR), can significantly impact the performance of integrated circuits (IC).
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Jan 26, 2025 - Verilog
Quantum-inspired GRU firmware for voltage droop prediction in 3nm NPUs (Tesla AI5/AI6 style) - 96% storm coverage, +1.42% fidelity uplift, 12% yield reclaim via selective masking. Open-source behavioral sim—contribute to NPU hardening!
machine-learning deep-learning fault-tolerance pytorch recurrent-neural-networks gru neural-networks semiconductor edge-computing ai-chips npu asic-design quantum-inspired yield-optimization tsmc ir-drop 3nm voltage-droop hardware-ml predictive-masking
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Nov 24, 2025 - Python
Simulated a realistic chip design problem (IR drop) and solved it using end-to-end machine learning:
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Jul 31, 2025 - Python
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