ShuGuoJ's repositories

myCode

The Trainer used to train and evaluate deep learning model.

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MST

"Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction" (CVPR 2022)

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ACmix

Official repository of ACmix (CVPR2022)

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CV-Backbones

CV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.

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EfficientDeveloping

:smile:博客论文列表:分系列整理

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GMT

Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)

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HRNet-Image-Classification

Train the HRNet model on ImageNet

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IEEE_TGRS_GCN

Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.

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ITSRN

Code repo for "Implicit Transformer Network for Screen ContentImage Continuous Super-Resolution" (NeurIPS'21)

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liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

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mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

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ml-cvnets

CVNets: A library for training computer vision networks

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MST-plus-plus

"MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction" (CVPRW 2022) & (Winner of NTIRE 2022 Challenge on Spectral Reconstruction from RGB)

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MultiMAE

Code and pre-trained models for MultiMAE: Multi-modal Multi-task Masked Autoencoders

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Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

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Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

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SimViT

This is a official repository of SimViT.

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SRGAN-1

A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

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stable-diffusion-tensorflow

Stable Diffusion in TensorFlow / Keras

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SwinIR

SwinIR: Image Restoration Using Swin Transformer

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UniFormer

[ICLR2022] official implementation of UniFormer

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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