nam-pytorch
Unofficial PyTorch implementation of Neural Additive Models (NAM) by Agarwal, et al. [abs, pdf]
Installation
You can access nam-pytorch via pip:
$ pip install nam-pytorch
Usage
import torch
from nam_pytorch import NAM
nam = NAM(
num_features=784,
link_func="sigmoid"
)
images = torch.rand(32, 784)
pred = nam(images) # [32, 1]
Contributing
As always, if there are any issues with / suggestions for the code, feel free to raise an issue or submit a PR.
License
1 maintainer
Metadata
1 maintainer
Release files for nam-pytorch 0.0.1
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| File | Size | Uploaded | Provenance | Actions |
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Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| nam_pytorch-0.0.1-py3-none-any.whl | Python 3 | none | any | Details for nam_pytorch-0.0.1-py3-none-any.whl |
Total release size: 5.7 kB
Release files / nam_pytorch-0.0.1.tar.gz
| Download URL | nam_pytorch-0.0.1.tar.gz |
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Release files / nam_pytorch-0.0.1-py3-none-any.whl
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| Tags | Python 3 |
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