Unofficial PyTorch implementation of Neural Additive Models (NAM) by Agarwal, et al.

Overview

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

MIT

Owner
Rishabh Anand
CS undergrad + ML Research @ NUS • Open-source Jedi • Writer
Rishabh Anand
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