DenseNet-Keras
DenseNet model
An implementation of DenseNet in Keras with pre-trained ImageNet weights
DenseNet Implementation in Keras with ImageNet Pretrained Models
568 stars
29 watching
264 forks
Language: Python
last commit: about 5 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
titu1994/densenet | An implementation of a deep learning network architecture with dense connectivity and bottleneck layers. | 708 |
rcmalli/keras-squeezenet | An implementation of the SqueezeNet neural network model in the Keras framework | 404 |
yixuanli/densenet-tensorflow | An implementation of DenseNet in TensorFlow using the Tensorpack framework and OpenCV-Python for image preprocessing. | 573 |
xiaochus/mobilenetv2 | A Keras implementation of MobileNetV2 with support for training and fine-tuning | 320 |
aurora95/keras-fcn | Keras implementation of Fully Convolutional Networks for Semantic Segmentation | 650 |
ykamikawa/tf-keras-segnet | An implementation of SegNet architecture for semantic segmentation using tensorflow and keras. | 178 |
opconty/keras-shufflenetv2 | A Keras implementation of ShuffleNet V2 architecture for deep learning models | 96 |
imlab-uiip/keras-segnet | An implementation of a deep learning architecture for image segmentation using the Keras framework. | 184 |
kefirski/bytenet | A Pytorch implementation of a neural network model for machine translation | 47 |
zfturbo/zf_unet_224_pretrained_model | A pre-trained convolutional neural network model for image segmentation tasks. | 214 |
zehaos/mobilenet | An implementation of Google's MobileNets in TensorFlow for object detection and image classification tasks. | 1,617 |
asmith26/wide_resnets_keras | Keras implementation of Wide Residual Networks with preloaded weights and configuration options for training and testing | 138 |
simjeg/fc-densenet | An implementation of a fully convolutional densely connected neural network architecture for semantic segmentation tasks. | 486 |
nicolov/segmentation_keras | An implementation of a deep learning model for image segmentation using Keras and dilated convolutions | 301 |
theduynguyen/keras-fcn | An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. | 15 |