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!

A memory-efficient implementation of DenseNets

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)

主流ocr算法研究实验性的项目，目前实现了CNN+BLSTM+CTC架构

Classification with PyTorch.

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

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)

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 Tensorflow

PyTorch to Keras model convertor

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

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

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

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

Repo about neural networks for images handling

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

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

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

Weakly Supervised Learning for Findings Detection in Medical Images