1hunters

LIMPQ

Official implementation for paper LIMPQ, "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance", ECCV 2022

EdgeViT

This is an unofficial PyTorch implementation of EdgeViT in "EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers", arXiv 2022.

retraining-free-quantization

RFQuant: Retraining-free Model Quantization via One-Shot Weight-Coupling Learning, CVPR (2024)

android_slide_button

iOS5-style SlideButton for Android

1hunters.github.io

android_snake_bfs

A homework for Android Snake Game. Using BFS to make the snake eat automatically.

conference_template

Latex template for conference (e.g. ICCV/CVPR) submission/supplementary/rebuttal

haq

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

image-models-pytorch

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

imgclsmob

Sandbox for training deep learning networks

L-GM_loss_pytorch

Rethinking Feature Distribution for Loss Functions in Image Classification

LeViT

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

Moonlit

This is a collection of our research on efficient AI, covering hardware-aware NAS and model compression.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

REKCARC-TSC-UHT

清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University

squeezenet1.1_bn

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Tinyhttpd

Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net

ucore_os_lab

os kernel labs for operating systems course in Tsinghua University.

Undergraduate

Collection of course homework and projects

zju-icicles

浙江大学课程攻略共享计划