shenxia123

shenxia123's Stars

• lucidrains/vit-pytorch

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

  Language:Python21.3k1562693.1k

• eriklindernoren/PyTorch-GAN

  PyTorch implementations of Generative Adversarial Networks.

  Language:Python16.6k2191574.1k

• swz30/MIRNet

  [ECCV 2020] Learning Enriched Features for Real Image Restoration and Enhancement. SOTA results for image denoising, super-resolution, and image enhancement.

  Language:Python674143896

• wvangansbeke/Sparse-Depth-Completion

  Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]

  Language:Python486175278

• ydhongHIT/DDRNet

  The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"

  Language:Python42065053

• RT-Thread-packages/freemodbus

  A Modbus ASCII/RTU and TCP implementation

  Language:C2301511101

• atiyo/deep_image_prior

  Image reconstruction done with untrained neural networks.

  Language:Python2178329

• hongwang01/RCDNet

  【CVPR2020, Interpretable Network】A Model-driven Deep Neural Network for Single Image Rain Removal

  Language:Python18171219

• YunChunChen/NAS-DIP-pytorch

  [ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

  Language:Python1269022

• TripleCoenzyme/ResNet50-Unet

  Segmentation for vertebra in MR images

  Language:Python1011618

• lucidrains/uformer-pytorch

  Implementation of Uformer, Attention-based Unet, in Pytorch

  Language:Python932216

• rezazad68/TMUnet

  Contextual Attention Network: Transformer Meets U-Net

  Language:Jupyter Notebook9311412

• system123/SOMatch

  A Framework for Deep Learning-based Sparse SAR-Optical Image Matching

  Language:Python5621617

• limingwu8/Image-Restoration

  Image registration using pytorch

  Language:Python402313

• Nirvan101/Image-Restoration-deep-learning

  Restoring images of damaged paintings using in-painting. Damaged paintings have discolored patches where the paint has faded or fallen off. This project uses image in-painting to fill and restore these lost regions. The models include context-encoders, GANS, conditional GANS and pixel diffusion.

  Language:Python322312

• wql7013/ModBus

  Library for Modbus, master/slave, ASCII/RTU, C language, for STM32 and most platform

  Language:C221121

• LeftAttention/Transformer-Unet

  Unet implementation with transformer encoder

  Language:Python19101

• leolya/Image-Reconstruction-for-Multimode-Fiber-Imaging-System

  Reconstruct original image from distorted speckle pattern with deep learning networks

  Language:Jupyter Notebook19100

• ForrestPi/VAEGAN

  try VAE GANLoss + SSIM loss in anomaly Detection

  Language:Python13201

• RadeenXALNW/ViTResUNet-Based-Medical-Image-Segmentation

  Hybrid CNN-Transformer ViTResUNet is the State of the Art architecture with the backbone of TransUNet. It was presented on the Jamal Nazrul Islam National Conference -2022

  Language:Jupyter Notebook8101

• lihkinVerma/Image-Reconstruction-by-Vision-Transformer

  This repository is to store developed for task of Image Reconstruction via Vision transfrtomer for tinyImagenet or other small datasets as MNIST

  Language:Python7101

• gugas81/pr-dad

  Pytorch implementation of paper: PR-DAD: Phase Retrieval Using Deep Auto-Decoders

  Language:Python6203

• CodingSheep1229/Dunhuang-Image-Restoration

  Dunhuang Image Restoration using partial convolution and SSIM loss

  Language:Python5221

• Alok589/Lensless-camera-and-deep-learning-based-image-reconstruction

  Language:Python4100

• haoyi-jason/modbus_gd

  modbus master and slave support for both tcp/rtu/ascii port from freemodbus

  Language:C41

• lizeyan/SISR

  Single Image Super Resolution Using SRCNN

  Language:Python3300

• vedhasua/mse_ccc_corollary

  "The Many-to-Many Mapping Between the Concordance Correlation Coefficient, and the Mean Square Error" Preprint here:

  Language:Python3102

• dhruvsinha/Reconstructing-Obfuscated-Facial-Images-Using-CNN

  I use Convolutional Autoencoder to reconstruct blurred, pixelated, and speckled facial images

  Language:Jupyter Notebook2

• BeeGrad/deep-image-prior

  Image restoration with neural networks but without learning.

  Language:Python1100

• kperkins411/Covid_19_predict

  Detecting COVID-19 with Chest X Ray using PyTorch- Resnet-18 with ReLU replaced with Mish and Ranged Adam

  Language:Jupyter Notebook10