A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

A memory-efficient implementation of DenseNets

Classification with PyTorch.

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

High level network definitions with pre-trained weights in TensorFlow

Classification models trained on ImageNet. Keras.

Fully convolutional deep neural network to remove transparent overlays from images

Play deep learning with CIFAR datasets

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

DenseNet implementation in Keras

A PyTorch implementation of DenseNet.

Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)

PyTorch to Keras model convertor

DenseNet Implementation in Tensorflow

PyTorch implementation of CNNs for CIFAR benchmark

Simple Tensorflow implementation of Densenet using Cifar10, MNIST

♾A curated list of papers and code about very deep neural networks

第一届西安交通大学人工智能实践大赛（2018AI实践大赛--图片文字识别）第一名；仅采用densenet识别图中文字

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

Repo about neural networks for images handling

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

This project is a tool to build CheXNet-like models, written in Keras.

A list of popular deep learning models related to classification, segmentation and detection problems

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码