https://github.com/tmthyln/armanets.jl
An implementation of ARMA convolutional layers in Julia.
https://github.com/tmthyln/armanets.jl
arma convolutional-neural-networks flux julia machine-learning
Last synced: 11 months ago
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An implementation of ARMA convolutional layers in Julia.
- Host: GitHub
- URL: https://github.com/tmthyln/armanets.jl
- Owner: tmthyln
- License: mit
- Created: 2020-09-16T23:27:33.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-07-01T00:14:45.000Z (almost 5 years ago)
- Last Synced: 2024-03-27T09:02:50.742Z (about 2 years ago)
- Topics: arma, convolutional-neural-networks, flux, julia, machine-learning
- Language: Julia
- Homepage: https://tmthyln.github.io/ARMANets.jl/latest/
- Size: 157 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# ARMANets.jl
This is an implementation of ARMA layers and ARMA networks in Julia, based on the paper [ARMA Nets: Expanding Receptive Field for Dense Prediction](https://arxiv.org/abs/2002.11609) (Su, Jiahao; Wang, Shiqi; Huang, Furong). The layers are a drop-in replacement (or addition) for standard convolutional layers.
See the [documentation](https://tmthyln.github.io/ARMANets.jl/latest/) for more details.
## Citation
The original paper can be cited via
```
@misc{su2020arma,
title={ARMA Nets: Expanding Receptive Field for Dense Prediction},
author={Jiahao Su and Shiqi Wang and Furong Huang},
year={2020},
eprint={2002.11609},
archivePrefix={arXiv},
primaryClass={cs.CV}
}
```