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GitHub / JortdeJong13 / epistemic-uncertainty
Epistemic uncertainty, sometimes referred to as model uncertainty, describes what the model does not know because training data was not appropriate. Modelling epistemic uncertainty is crucial to prevent ill advised discussion making due to over confident models.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/JortdeJong13%2Fepistemic-uncertainty
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 8.74 MB
Dependencies:
0
Created: 11 months ago
Updated: 8 months ago
Last pushed: 8 months ago
Last synced: 4 months ago
Commit Stats
Commits: 5
Authors: 1
Mean commits per author: 5.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/JortdeJong13/epistemic-uncertainty
Topics: model-confidence, monte-carlo-dropout, out-of-distribution-detection, polyp-segmentation, segmentation, uncertainty, variational-autoencoder
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