vvanirudh
/ bayes_by_backprop.py
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July 25, 2022 11:26
Bayes by Backprop in PyTorch (introduced in the paper "Weight uncertainty in Neural Networks", Blundell et. al. 2015)
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| # Drawn from https://gist.github.com/rocknrollnerd/c5af642cf217971d93f499e8f70fcb72 (in Theano) | |
| # This is implemented in PyTorch | |
| # Author : Anirudh Vemula | |
| import torch | |
| import torch.nn as nn | |
| from torch.autograd import Variable | |
| import numpy as np | |
| from sklearn.datasets import fetch_mldata |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| # Drawn from https://gist.github.com/rocknrollnerd/06bfed6b9d1bce612fd6 (in theano) | |
| # This is implemented in PyTorch | |
| # Author : Anirudh Vemula | |
| import numpy as np | |
| import torch | |
| import torch.nn as nn | |
| from torch.autograd import Variable | |
| from scipy.stats import norm | |
| import matplotlib.pyplot as plt |
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