highway-networks
Convolutional Highway Network
An implementation of Highway Networks in Caffe, utilizing the idea of information highways to address the vanishing gradient problem in neural networks.
An implementation of Highway Networks in Caffe
96 stars
10 watching
26 forks
Language: C++
last commit: about 9 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
fomorians/highway-cnn | A deep learning framework for training highway networks on image data using convolutional neural networks | 57 |
mhauskn/dqn | An implementation of Deep Q-Network using Caffe | 69 |
wkentaro/fcn | An implementation of fully convolutional networks in Chainer, a deep learning framework. | 218 |
benedekrozemberczki/mixhop-and-n-gcn | A deep learning framework implementation of higher-order graph convolutional architectures and their applications | 403 |
jihongju/keras-fcn | A library implementing a Fully Convolutional Network architecture with Keras support | 202 |
simonguist/testing-fcn-for-cityscapes | An implementation of fully convolutional networks for semantic segmentation using the Cityscapes dataset and Caffe deep learning framework. | 27 |
yitzchak/cytoscape-clj | A library that enables the creation and display of complex network graphs within a Jupyter notebook using Common Lisp. | 3 |
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 |
eilene/gwnn | A TensorFlow implementation of a graph convolution algorithm using wavelet transforms instead of traditional methods. | 64 |
theduynguyen/keras-fcn | An implementation of fully convolutional neural networks for semantic segmentation using TensorFlow as the backend. | 15 |
farmingyard/shufflenet | An efficient convolutional neural network implementation for mobile devices | 448 |
liqimai/gcn | An implementation of graph convolutional networks for semi-supervised learning in Python using TensorFlow and other libraries. | 45 |
marvinteichmann/tensorflow-fcn | An implementation of a fully convolutional network architecture for image segmentation using VGG weights. | 1,102 |
seewalker/tf-pixelwise | A tensorflow implementation of Fully Convolutional Networks For Semantic Segmentation | 13 |
linksense/lightnet | Research into efficient neural networks for semantic image segmentation in autonomous driving applications | 719 |