https://github.com/srom/distributions

Notebooks on how to use PyTorch distributions to build probabilistic deep neural networks.
https://github.com/srom/distributions

deep-learning probability pytorch

Last synced: about 1 year ago
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Notebooks on how to use PyTorch distributions to build probabilistic deep neural networks.

• Host: GitHub
• URL: https://github.com/srom/distributions
• Owner: srom
• Created: 2021-04-09T12:48:04.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2022-01-11T09:15:54.000Z (over 4 years ago)
• Last Synced: 2025-05-08T20:58:18.261Z (about 1 year ago)
• Topics: deep-learning, probability, pytorch
• Language: Jupyter Notebook
• Homepage:
• Size: 2.79 MB
• Stars: 10
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
Example notebooks on how to use [PyTorch distributions](https://pytorch.org/docs/stable/distributions.html) to build probabilistic deep neural networks.

Relevant blog post: [Modeling uncertainty with PyTorch](https://romainstrock.com/blog/modeling-uncertainty-with-pytorch.html).