GitHub - irom-princeton/SL-PAC-Bayes

Name		Name	Last commit message	Last commit date
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README.md		README.md
__init__.py		__init__.py
layers.py		layers.py
model.py		model.py
train.py		train.py
utils.py		utils.py

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Code which trains a stochastic network on MNIST and computes a PAC-Bayes bound on the error rate.

Requirements

pytorch
torchvision
numpy
cvxpy

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Python 100.0%