DenseNet
Dense Network Architecture
An implementation of a deep learning network architecture with dense connectivity and bottleneck layers.
DenseNet implementation in Keras
708 stars
29 watching
294 forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list
bottleneckdeep-learningdensenetdensenet-modelkeraspaper
weiaicunzai/awesome-image-classificationRelated 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 | 568 |
 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 | 832 |
 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. | 486 |
 yixuanli/densenet-tensorflow | An implementation of DenseNet in TensorFlow using the Tensorpack framework and OpenCV-Python for image preprocessing. | 573 |
 gpleiss/efficient_densenet_pytorch | An implementation of DenseNets optimized to save GPU memory by using checkpointing | 1,521 |
| titu1994/inception-v4 | Implementations of deep learning architectures in Keras using the Functional API | 386 |
 ntedgi/node-efficientnet | A Node.js implementation of the EfficientNet deep learning model architecture. | 257 |
| 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. | 333 |
 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 |