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NYU-MLDA/OpenABC
NYU-MLDA/OpenABC PublicOpenABC-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.
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NYU-MLDA/ABC-RL
NYU-MLDA/ABC-RL PublicThis is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.
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NYU-MLDA/robust-pnr-time
NYU-MLDA/robust-pnr-time PublicImplementation of ASPDAC 2021 paper: "Read your circuit: Leveraging word embedding to guide logic optimization"
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NYU-MLDA/ALMOST
NYU-MLDA/ALMOST PublicALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning
Verilog 2
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NYU-MLDA/RTL_dataset
NYU-MLDA/RTL_dataset PublicExtract leaf level RTL modules from OpenROAD and collect PPA numbers generated by Yosys
Verilog 1
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