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@NYU-MLDA

NYU Machine-Learning guided Design Automation (MLDA)

Machine-learning aided Chip design

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  1. OpenABC OpenABC Public

    OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design.

    Verilog 128 21

  2. ABC-RL ABC-RL Public

    This is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.

    Verilog 5 1

  3. robust-pnr-time robust-pnr-time Public

    Implementation of ASPDAC 2021 paper: "Read your circuit: Leveraging word embedding to guide logic optimization"

    Verilog 5 2

  4. ALMOST ALMOST Public

    ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning

    Verilog 2

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