https://github.com/gugarosa/multi_activation
📄 Official PyTorch and Tensorflow implementations regarding the Multi Activation layer.
https://github.com/gugarosa/multi_activation
implementation machine-learning multi-activation paper pytorch tensorflow
Last synced: 2 months ago
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📄 Official PyTorch and Tensorflow implementations regarding the Multi Activation layer.
- Host: GitHub
- URL: https://github.com/gugarosa/multi_activation
- Owner: gugarosa
- License: mit
- Created: 2021-05-05T17:23:01.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2022-10-05T12:15:31.000Z (over 3 years ago)
- Last Synced: 2026-02-15T18:54:03.074Z (5 months ago)
- Topics: implementation, machine-learning, multi-activation, paper, pytorch, tensorflow
- Language: Python
- Homepage:
- Size: 34.2 KB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# WIP
*This repository holds all the necessary code to run the very-same experiments described in the paper "WIP".*
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## References
If you use our work to fulfill any of your needs, please cite us:
```
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## Structure
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## Package Guidelines
### Installation
Install all the pre-needed requirements using:
```Python
pip install -r requirements.txt
```
### Data configuration
In order to run the experiments, you can use `torchvision` to load pre-implemented datasets.
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## Usage
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## Support
We know that we do our best, but it is inevitable to acknowledge that we make mistakes. If you ever need to report a bug, report a problem, talk to us, please do so! We will be available at our bests at this repository.
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