NFNets, PyTorch
Project description
Sharpness Aware Minimization (SAM) in PyTorch
This repository is the generic implementation of sam.pytorch
(repository). All credits to @moskomule.
Installation
Latest release: pip install sam-pytorch
Latest code: pip install git+https://github.com/tourdeml/sam/
Docs
Visit sam-pytorch.readthedocs.io
Explanation
See the blog post (Tour de ML)
Citation
@ARTICLE{2020arXiv201001412F,
author = {{Foret}, Pierre and {Kleiner}, Ariel and {Mobahi}, Hossein and {Neyshabur}, Behnam},
title = "{Sharpness-Aware Minimization for Efficiently Improving Generalization}",
year = 2020,
eid = {arXiv:2010.01412},
eprint = {2010.01412},
}
@software{sampytorch,
author = {Ryuichiro Hataya},
titile = {sam.pytorch},
url = {https://github.com/moskomule/sam.pytorch},
year = {2020}
}
@software{tourdemlsam,
author = {Vaibhav Balloli},
titile = "{SAM implementation in PyTorch}",
url = {https://github.com/tourdeml/sam},
year = {2021}
}
@misc{balloli2021sam:,
author = {Balloli, Vaibhav},
title = {Tour de ML: SAM: Sharpness-Aware Maximization},
url = {https://tourdeml.github.io/blog/posts/2021-02-26-sam-sharpness-aware-maximization/},
year = {2021}
}
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