ExplainableML / BayesCap

(ECCV 2022) BayesCap: Bayesian Identity Cap for Calibrated Uncertainty in Frozen Neural Networks

Date Created 2022-07-09 (about a year ago)

Commits 13 (last one about a year ago)

Stargazers 46 (0 this week)

Watchers 5 (0 this week)

Forks 3

License apache-2.0

Ranking

RepositoryStats indexes 534,551 repositories, of these ExplainableML/BayesCap is ranked #450,009 (16th percentile) for total stargazers, and #317,223 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,563/14,929.

ExplainableML/BayesCap is also tagged with popular topics, for these it's ranked: deep-learning (#6,836/7827), machine-learning (#6,485/7371), computer-vision (#2,420/2820), medical-imaging (#223/255), depth-estimation (#118/140)

Other Information

ExplainableML/BayesCap has Github issues enabled, there are 2 open issues and 5 closed issues.

All Topics

gans deblurring inpainting calibration uncertainty deep-learning computer-vision medical-imaging depth-estimation machine-learning image-translation uncertainty-estimation uncertainty-calibration uncertainty-visualisation uncertainty-quantification

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13 commits on the default branch (main) since jan '22

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updated: 2024-03-25 @ 05:05pm, id: 512170169 / R_kgDOHocYuQ