DenseNet

Dense Network Architecture

An implementation of a deep learning network architecture with dense connectivity and bottleneck layers.

DenseNet implementation in Keras

GitHub

707 stars
29 watching
294 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list

bottleneckdeep-learningdensenetdensenet-modelkeraspaper

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
titu1994/keras-dualpathnetworks Provides a Keras implementation of a deep neural network architecture combining ResNeXt and DenseNet elements 114
flyyufelix/densenet-keras An implementation of DenseNet in Keras with pre-trained ImageNet weights 567
shicai/densenet-caffe Provides pre-trained neural network models based on DenseNet architecture, converted from Torch format to Caffe model for use in deep learning applications. 357
bamos/densenet.pytorch An implementation of a deep neural network architecture in PyTorch 833
hasnainraz/fc-densenet-tensorflow Re-implementation of a 100-layer fully convolutional network architecture for image segmentation 123
simjeg/fc-densenet An implementation of a fully convolutional densely connected neural network architecture for semantic segmentation tasks. 487
yixuanli/densenet-tensorflow An implementation of DenseNet in TensorFlow using the Tensorpack framework and OpenCV-Python for image preprocessing. 571
gpleiss/efficient_densenet_pytorch An implementation of DenseNets optimized to save GPU memory by using checkpointing 1,524
titu1994/inception-v4 Implementations of deep learning architectures in Keras using the Functional API 387
ntedgi/node-efficientnet A Node.js implementation of the EfficientNet deep learning model architecture. 258
titu1994/keras-nasnet An implementation of Neural Architecture Search Network models in Keras 2.0+, allowing for the creation and usage of NASNet architectures. 199
titu1994/keras-resnext An implementation of ResNeXt models in Keras, allowing for efficient deep neural networks for image classification. 224
xternalz/wideresnet-pytorch An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. 334
taehoonlee/tensornets A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. 1,004
theduynguyen/keras-fcn An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. 15