zhuhanqing Goto Github PK
Name: zhuHQ
Type: User
Bio: Ph.D. student at the UT-Austin.
Location: Austin
Name: zhuHQ
Type: User
Bio: Ph.D. student at the UT-Austin.
Location: Austin
The implementation of AICircuit: A Multi-Level Dataset and Benchmark for AI-Driven Analog Integrated Circuit Design
A fully modular framework for modeling and optimizing analog neural networks
The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design"
Share code with Prof. Kahng
吴恩达老师的机器学习课程个人笔记
吴恩达机器学习公开课作业中文版本以及Python实现
Modern C++ Parallel Task Programming Library
Everyday's note!
Code Snippets, Exercises For the Data Structures and Algorithms in Python by Goodrich, Tamassia
This is the code for DCNO(Dilated convolution neural operator for multiscale partial differential equations)
Official DeiT repository
[ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures
Deep learning toolkit-enabled VLSI placement
Implementation of efficient and aging-resilient photonic in-memory neurocomputing engine, ASP-DAC 2022
Physical Design for Nanometer ICs Programming Assignment 2
Material for cuda-mode lectures
LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference
[HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator
AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
Leveraging LLMs to design and optimize nanophotonics
An analytical cost model evaluating DNN mappings (dataflows and tiling).
This repository contains code for the MicroAdam paper.
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regula
MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1
This is a collection of works on neural networks and neural accelerators.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.