NYU Machine-Learning guided Design Automation (MLDA)
Machine-learning aided Chip design
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- United States of America
- abc586@nyu.edu
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- 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.
NYU-MLDA/OpenABC’s past year of commit activity - ALMOST Public
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning
NYU-MLDA/ALMOST’s past year of commit activity - 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.
NYU-MLDA/ABC-RL’s past year of commit activity - RTL_dataset Public
Extract leaf level RTL modules from OpenROAD and collect PPA numbers generated by Yosys
NYU-MLDA/RTL_dataset’s past year of commit activity - awesome-ml4co Public Forked from Thinklab-SJTU/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
NYU-MLDA/awesome-ml4co’s past year of commit activity - explainable-ai-ic-testing Public
NYU-MLDA/explainable-ai-ic-testing’s past year of commit activity
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