Pinned Repositories
ABC-RL
This is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.
ALMOST
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
DAGNN
A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.
DIG
A library for graph deep learning research
explainable-ai-ic-testing
muzero-general
MuZero
OpenABC
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.
robust-pnr-time
Implementation of ASPDAC 2021 paper: "Read your circuit: Leveraging word embedding to guide logic optimization"
RTL_dataset
Extract leaf level RTL modules from OpenROAD and collect PPA numbers generated by Yosys
NYU-MLDA's Repositories
NYU-MLDA/OpenABC
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/robust-pnr-time
Implementation of ASPDAC 2021 paper: "Read your circuit: Leveraging word embedding to guide logic optimization"
NYU-MLDA/ABC-RL
This is work-in-progress (WIP) refactored implementation of "Retreival-guided Reinforcement Learning for Boolean Circuit Minimization" work published in ICLR 2024.
NYU-MLDA/ALMOST
ALMOST: Adversarial Learning to Mitigate Oracle-less ML Logic Locking Attacks via Synthesis Tuning
NYU-MLDA/RTL_dataset
Extract leaf level RTL modules from OpenROAD and collect PPA numbers generated by Yosys
NYU-MLDA/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
NYU-MLDA/DAGNN
A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong inductive bias besides other suitable architectural features.
NYU-MLDA/DIG
A library for graph deep learning research
NYU-MLDA/explainable-ai-ic-testing
NYU-MLDA/muzero-general
MuZero
NYU-MLDA/ASCENT
Side-channel aware RL-guided Logic Synthesis