densenet-tensorflow
DenseNet library
An implementation of DenseNet in TensorFlow using the Tensorpack framework and OpenCV-Python for image preprocessing.
DenseNet Implementation in Tensorflow
573 stars
23 watching
195 forks
Language: Python
last commit: over 5 years ago
Linked from 1 awesome list
densenettensorflow
Related projects:
Repository | Description | Stars |
---|---|---|
hasnainraz/fc-densenet-tensorflow | Re-implementation of a 100-layer fully convolutional network architecture for image segmentation | 123 |
taehoonlee/tensornets | A collection of pre-trained neural network models with simple interfaces for easy integration into machine learning workflows. | 1,004 |
tensorflow/mesh | A library that enables distributed deep learning by partitioning tensors across processors in a mesh topology. | 1,592 |
hellochick/pspnet-tensorflow | A TensorFlow-based implementation of a semantic segmentation network for image classification tasks | 326 |
chenxi116/tf-deeplab | A TensorFlow implementation of DeepLab using ResNet 101 architecture | 22 |
chenxi116/pnasnet.tf | An implementation of PNASNet-5 architecture in TensorFlow for image classification on ImageNet. | 102 |
yeephycho/nasnet-tensorflow | A toolkit for training and deploying a state-of-the-art image classification architecture on TensorFlow | 136 |
google/tensornetwork | A library for easy and efficient manipulation of tensor networks. | 1,819 |
tensorflow/gnn | Builds Graph Neural Networks on the TensorFlow platform using heterogeneous graphs and various machine learning techniques. | 1,362 |
titu1994/densenet | An implementation of a deep learning network architecture with dense connectivity and bottleneck layers. | 708 |
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 |
taki0112/senet-tensorflow | A TensorFlow implementation of Squeeze and Excitation Networks for image classification tasks | 756 |
wenxinxu/resnext-in-tensorflow | An implementation of a deep neural network architecture in TensorFlow | 78 |
eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
liqimai/gcn | An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |