https://github.com/shunk031/chainer-pyramidnet
Chainer implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
https://github.com/shunk031/chainer-pyramidnet
chainer chainerv3 cnn-architecture deep-learning imagenet network-architecture pyramidnet residual-networks
Last synced: 8 months ago
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Chainer implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
- Host: GitHub
- URL: https://github.com/shunk031/chainer-pyramidnet
- Owner: shunk031
- Created: 2018-03-18T01:08:19.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-03-19T05:41:51.000Z (over 7 years ago)
- Last Synced: 2025-01-10T17:53:46.215Z (9 months ago)
- Topics: chainer, chainerv3, cnn-architecture, deep-learning, imagenet, network-architecture, pyramidnet, residual-networks
- Language: Python
- Homepage:
- Size: 2.93 KB
- Stars: 2
- Watchers: 4
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# A Chainer implementation for PyramidNets (Deep Pyramidal Residual Networks)
This repository contains a [Chainer](https://chainer.org/) implementation for the paper: [Deep Pyramidal Residual Networks](https://arxiv.org/pdf/1610.02915.pdf) (CVPR 2017, Dongyoon Han*, Jiwhan Kim*, and Junmo Kim, (equally contributed by the authors*)). The code in this repository is based on the example provided in PyTorch examples and the nice implementation of Densely Connected Convolutional Networks.
Three other implementations with [LuaTorch](http://torch.ch/), [Caffe](http://caffe.berkeleyvision.org/) and [PyTorch](http://pytorch.org/) are provided:
1. [A LuaTorch implementation](https://github.com/jhkim89/PyramidNet) for PyramidNets,
2. [A Caffe implementation](https://github.com/jhkim89/PyramidNet-caffe) for PyramidNets.
3. [A PyTorch implementation](https://github.com/dyhan0920/PyramidNet-PyTorch) for PyramidNets.
## Requirements
- Chainer 3.2.0+
- CuPy 2.2.0+