Unofficial PyTorch implementation of Neural Additive Models (NAM) by Agarwal, et al. [abs, pdf]
You can access nam-pytorch via pip:
$ pip install nam-pytorch
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]
As always, if there are any issues with / suggestions for the code, feel free to raise an issue or submit a PR.
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