activatedgeek/understanding-bayesian-classification
On Uncertainty, Tempering, and Data Augmentation in Bayesian Classification
ORIGINAL REPOSITORY
activatedgeek/understanding-bayesian-classification ↗GitHub activity
- Stars
- 20
- Forks
- 2
- Open issues and PRs
- 0
- Repository size
- ~23,743 KB
- Default branch
- main
- Created
- Mar 29, 2022
- Repository updated
- Oct 1, 2026
- Last push
- Apr 1, 2022
- Language
- Jupyter Notebook
- License
- Apache-2.0
Topics aleatoric-uncertainty · bayesian-inference · bayesian-neural-networks · classification · deep-learning · machine-learning · paper · research · uncertainty-quantification
Repository-wide figures from GitHub, checked Nov 6, 2026. Stars are endorsements, not a Mega AI Hub quality rating. Repository size is GitHub’s estimate; a ZIP download may differ.
Resource information
- Original repository
- activatedgeek/understanding-bayesian-classification
- Credit basis
- GitHub repository owner or organization; individual authorship is not asserted
- Publisher
- activatedgeek
- Upstream last modified
- Oct 1, 2026
- Official website
- https://github.com/activatedgeek/understanding-bayesian-classification
- Languages
- Jupyter Notebook
- Access
- Open original GitHub repository; publisher terms apply
- Last checked
- Nov 6, 2026
- License
- Apache-2.0
- Last record update
- Nov 6, 2026