-
Princeton University
- Princeton, NJ
Highlights
- Pro
Stars
Ancillary Material for the book "Systematic Design of Analog CMOS Circuits"
Course material for a basic hands-on analog circuit design course with IC emphasis
A MATLAB-based tool to accelerate amplifier design, now support 22nm/40nm/65nm/180nm.
Bridge between LLM-Agent and Cadence Virtuoso. A new infrastructure for Agentic Analog and Mixed-Signal Design.
Open-source, low-cost 10.5 GHz PLFM phased array RADAR system
A research agent system deeply rooted in your Zotero library.
Self-organizing AI second brain for Obsidian + Claude Code. Drop any source and Claude reads, links, and files it into one connected knowledge graph of plain Markdown you own. AI note-taking, perso…
[ACL2026 main] Official implementation of "Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance"
iic-jku / SKY130_SAR-ADC1
Forked from w32agobot/SKY130_SAR-ADCFully-differential asynchronous non-binary 12-bit SAR-ADC in SKY130, free to re-use under Apache-2.0 license
GDSII File Parsing, IC Layout Analysis, and Parameter Extraction
3D finite element solver for computational electromagnetics
a structural diff that understands syntax 🟥🟩
Cryptanalysis of Physically Unclonable Functions
An open-source static random access memory (SRAM) compiler.
A collection of modern/faster/saner alternatives to common unix commands.
Benchmark framework of 3D integrated CIM accelerators for popular DNN inference, support both monolithic and heterogeneous 3D integration
Altera Advanced Synthesis Cookbook 11.0
Random notes on papers, likely a short-term repo.
Download pages from http://reserves.lib.tsinghua.edu.cn/
Benchmark framework of compute-in-memory based accelerators for deep neural network (inference engine focused)
Spatial: "Specify Parameterized Accelerators Through Inordinately Abstract Language"
🦀 Small exercises to get you used to reading and writing Rust code!
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, …