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OpenLane is an automated RTL to GDSII flow based on several components including OpenROAD, Yosys, Magic, Netgen and custom methodology scripts for design exploration and optimization.

Implementation of NeurIPS 2021 paper "On Joint Learning for Solving Placement and Routing in Chip Design" & NeurIPS 2022 paper "The Policy-gradient Placement and Generative Routing Neural Networks …

Python package built to ease deep learning on graph, on top of existing DL frameworks.

DE-HNN: An effective neural model for Circuit Netlist representation

图深度学习（葡萄书），在线阅读地址： https://datawhalechina.github.io/grape-book

C++

Graph Neural Network Library for PyTorch

OpenSTA engine

CircuitNet: An Open-Source Dataset for Machine Learning Applications in Electronic Design Automation (EDA)

PandA-bambu public repository

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Python - 100天从新手到大师

潘多拉，一个让你呼吸顺畅的ChatGPT。Pandora, a ChatGPT client that lets you breathe freely.

OpenROAD's unified application implementing an RTL-to-GDS Flow. Documentation at https://openroad.readthedocs.io/en/latest/

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Official open source repository for "A Timing Engine Inspired Graph Neural Network Model for Pre-Routing Slack Prediction" (DAC 2022)

Timing prediction dataset download and instructions.

A collection of great digital IC project/tutorial/website etc..

Gate-level timing estimation toolkit

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

MLCAD 2020: Reinforcement for logic optimization sequence exploration

Various translations of OSTEP can be found here. Help the cause and contribute!