mayinjin Goto Github PK

ad3dmil

Attention Based Deep 3D Multiple Instance Learning

adabelief-optimizer

Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"

adnet

Attention-guided CNN for image denoising(Neural Networks,2020)

adnet-1

ADNet Implementation using Tensorflow

brdnet

Image denoising using deep CNN with batch renormalization(Neural Networks,2020)

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization. https://poloclub.github.io/cnn-explainer/

conformer

cople-net

COVID-19 Pneumonia Lesion segmentation network

cotr

[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation

covid-19-ct-cxr

COVID-19-CT-CXR, a public database of COVID-19 CXR and CT images

covid-19-repo

covid-caps

A Capsule Network-based framework for identification of COVID-19 cases from chest X-ray Images

covid-chestxray-dataset

We are building an open database of COVID-19 cases with chest X-ray or CT images.

covid-ct

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

covid-net

COVID-Net Open Source Initiative

covid19.miscnn

Robust Chest CT Image Segmentation of COVID-19 Lung Infection based on limited data

cpce-3d

Low-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018

ctlib

A lib of CT projector and back-projector based on PyTorch

cvclass_basic

resources for CV

cyclegan_ct

Cycle-consistent adversarial denoising network for multiphase coronary CT angiography

cyclegan_ctdenoising

Low Dose CT Image Denoising Using a Cycle-Consistent Adversarial Networks.

deep-learning-with-pytorch-chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

distillation

dive-into-cv-pytorch

动手学CV-Pytorch版

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dpsr

Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels (CVPR, 2019) (PyTorch)

drca

DenseNet with Deep Residual Channel-Attention Blocks for Single Image Super Resolution

efficientcovidnet

Source related to the paper EfficientCovidNet

fbpconvnet

医学图像分辨率提高

framing-u-net

Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems