There are 6 repositories under densenet topic.
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.
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)
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
Classification with PyTorch.
A memory-efficient implementation of DenseNets
Classification models trained on ImageNet. Keras.
Fully convolutional deep neural network to remove transparent overlays from images
High level network definitions with pre-trained weights in TensorFlow
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Play deep learning with CIFAR datasets
PyTorch to Keras model convertor
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
DenseNet implementation in Keras
PyTorch implementation of CNNs for CIFAR benchmark
Simple Tensorflow implementation of Densenet using Cifar10, MNIST
A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
♾A curated list of papers and code about very deep neural networks
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
A list of popular deep learning models related to classification, segmentation and detection problems
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet
35% faster than ResNet: Harmonic DenseNet, A low memory traffic network
Weakly Supervised Learning for Findings Detection in Medical Images
This project is a tool to build CheXNet-like models, written in Keras.
Repo about neural networks for images handling
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
Accelerate Neural Net Training by Progressively Freezing Layers
DenseFuse (IEEE TIP 2019) - TensorFlow 1.8.0
pytorch and cifar10