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diabetic_reinopathy_detection

Diabetic retinopathy detection using Pytorch

diabetic_retinopathy_detection

classification on diabetic retinopathy images

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。

domain-adversarial-nasunet

dru-net

dunet-retinal-vessel-detection

A deformable-Unet architecture for retinal vessel segmentation

eastmoney_stock

scrapy+Fiddler+celery+ redis +mysql实现分布式定时启动并异步快速动态爬取股票数据功能

easy_vgg16_unet

This is code to create an easy to use VGG16 pre-training with UNet attached

eccv2020-code

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

efficientfcn

elastic_interaction_based_loss

Code for MICCAI2020 paper "An Elastic Interaction-Based Loss Function for Medical Image Segmentation"

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fast-autoaugment

Official Implementation of 'Fast AutoAugment' in PyTorch.

fast-autoaugment-1

Fast AutoAugment, similar to official release but easier to run

fast-autoaugment-2

Fast Autoaugment implementation for PyTorch

fast-rcnn

Fast R-CNN

fcn.tensorflow

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

fluwx

Flutter版微信SDK.WeChat SDK for flutter.

four_flower

使用tensorflow和cnn做的图像识别，对四种花进行了分类。

funpyspidersearchengine

借鉴自慕课网【Scrapy 1.6.0爬取数据 + ElasticSearch6.8.0+Django2.2搜索引擎】

fxgan

Data augmentation for Chestx-ray classification using GAN

fxxkpython

通往 Python 高手之路，小帅b的 VIP 朋友们

gamma

十一周

gan_synthetic_medical_image_augmentation

Implementation of the technique introduced in the paper "GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification" from Frid-Adar et al. in 2018, using a different dataset and differing architectural topology to reproduce similar results.

ghostnet.pytorch

[CVPR2020] GhostNet: More Features from Cheap Operations

grad-cam.pytorch

pytorch实现Grad-CAM和Grad-CAM++,可以可视化任意分类网络的Class Activation Map (CAM)图,包括自定义的网络;同时也实现了目标检测faster r-cnn和retinanet两个网络的CAM图;欢迎试用、关注并反馈问题...

h-denseunet

TMI 2018. H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

hdenseuet

H-DenseUnet pytorch implementation

hrnet-image-classification

Train the HRNet model on ImageNet