shenxia123's starred repositories
Transformer-Unet
Unet implementation with transformer encoder
freemodbus
A Modbus ASCII/RTU and TCP implementation
PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
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
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.
Sparse-Depth-Completion
Predict dense depth maps from sparse and noisy LiDAR frames guided by RGB images. (Ranked 1st place on KITTI) [MVA 2019]
uformer-pytorch
Implementation of Uformer, Attention-based Unet, in Pytorch
ResNet50-Unet
Segmentation for vertebra in MR images
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
Covid_19_predict
Detecting COVID-19 with Chest X Ray using PyTorch- Resnet-18 with ReLU replaced with Mish and Ranged Adam
Reconstructing-Obfuscated-Facial-Images-Using-CNN
I use Convolutional Autoencoder to reconstruct blurred, pixelated, and speckled facial images
deep-image-prior
Image restoration with neural networks but without learning.
NAS-DIP-pytorch
[ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search
deep_image_prior
Image reconstruction done with untrained neural networks.
Dunhuang-Image-Restoration
Dunhuang Image Restoration using partial convolution and SSIM loss
Image-Reconstruction-for-Multimode-Fiber-Imaging-System
Reconstruct original image from distorted speckle pattern with deep learning networks
mse_ccc_corollary
"The Many-to-Many Mapping Between the Concordance Correlation Coefficient, and the Mean Square Error" Preprint here:
Image-Restoration
Image registration using pytorch