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deep learning for image processing including classification and object-detection etc.
Awesome List of Attention Modules and Plug&Play Modules in Computer Vision
A faster pytorch implementation of faster r-cnn
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This is a case study of experimenting with Pneumonia detection in chest X-ray images of a public dataset
Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its fur…
Using detectron2 to train Image classification models for backbone of detection models
pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet
Thyroid Nodule Segmentation and Classification in Ultrasound Images (TNSCUI2020-MICCAI)
A curated list of deep learning image classification papers and codes
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
use pytorch to do image classification
Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)
Train the HRNet model on ImageNet
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
2019 Huawei Cloud garbage Classification Competition online score 2th place
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
Datasets, Transforms and Models specific to Computer Vision
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
使用迁移学习将resnet50用于垃圾分类，基于【华为云人工智能大赛·垃圾分类挑战杯】