zhuhanqing Goto Github PK

analogvnn

A fully modular framework for modeling and optimizing analog neural networks

awesome_ai4eda

butterfly_acc

The codes and artifacts associated with our MICRO'22 paper titled: "Adaptable Butterfly Accelerator for Attention-based NNs via Hardware and Algorithm Co-design"

code_ml_predictor

Share code with Prof. Kahng

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

coursera_ml_exercise

吴恩达机器学习公开课作业中文版本以及Python实现

cpp-taskflow

Modern C++ Parallel Task Programming Library

dailythings

Everyday's note!

data-structures-algorithms-goodrich

Code Snippets, Exercises For the Data Structures and Algorithms in Python by Goodrich, Tamassia

dcno-iclr2024

This is the code for DCNO(Dilated convolution neural operator for multiscale partial differential equations)

deit

Official DeiT repository

dnn-chip-predictor

[ICASSP'20] DNN-Chip Predictor: An Analytical Performance Predictor for DNN Accelerators with Various Dataflows and Hardware Architectures

dreamplace

Deep learning toolkit-enabled VLSI placement

elight

Implementation of efficient and aging-resilient photonic in-memory neurocomputing engine, ASP-DAC 2022

fixed-outline-floorplanning

Physical Design for Nanometer ICs Programming Assignment 2

git_test

lectures

Material for cuda-mode lectures

levit

LeViT a Vision Transformer in ConvNet's Clothing for Faster Inference

lightening-transformer

[HPCA24] Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator

lightening-transformer-ae

Artifact evaluation for HPCA'24 paper Lightening-Transformer: A Dynamically-operated Optically-interconnected Photonic Transformer Accelerator

llm-awq

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

maestro

An analytical cost model evaluating DNN mappings (dataflows and tiling).

mcbench

microadam

This repository contains code for the MicroAdam paper.

micronet

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

ml20

mnsim_python

MNSIM_Python_v1.0. The former circuits-level version link: https://github.com/Zhu-Zhenhua/MNSIM_V1.1

neural-networks-on-silicon

This is a collection of works on neural networks and neural accelerators.

neurolight

A Neural Operator-based Integrated Photonic Device Simulation Framework, NeurOLight NeurIPS 2022

notes