ENSTA-U2IS-AI / awesome-uncertainty-deeplearning
This repository contains a collection of surveys, datasets, papers, and codes, for predictive uncertainty estimation in deep learning models.
Why this job: name: awesome; topics: awesome
What it does
If you think we missed a paper, please open a pull request or send a message on the corresponding GitHub discussion. Tell us where the article was published and when, and send us GitHub and ArXiv links if they are available.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 20 days ago
- Stars
- 829
- On GitHub
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Not stated
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- None
- No issues filed
- Pull requests
- 16 merged
- 2 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: topics and project record
Topics
- deep-learning
- uncertainty-quantification
- uncertainty-estimation
- uncertainty-neural-networks
- uncertainty-analysis
- deep-neural-networks
- deep-learning-tutorials
- machine-learning
- awesome
- awesome-resources
Project record
- JobLists and guides
- StatusListed
- Commits179
- Forks82
- Watching27
- Stars in 28 days+5
- CreatedJan 6, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026