srohit0/mida
Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"
This project helps Electrical Design Automation (EDA) engineers apply machine intelligence to common design tasks. It takes design parameters and performance data for circuits as input, and provides models for predicting characteristics like resistance and capacitance, classifying circuit types, or compressing large datasets. An EDA engineer or chip designer can use this to streamline circuit analysis and optimization.
No commits in the last 6 months.
Use this if you are an EDA engineer looking for practical examples of how machine learning can solve circuit design and analysis problems.
Not ideal if you are looking for a ready-to-use software tool rather than illustrative code examples for learning and adaptation.
Stars
27
Forks
7
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Dec 09, 2018
Commits (30d)
0
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