aangelopoulos / im2im-uq

Image-to-image regression with uncertainty quantification in PyTorch. Take any dataset and train a model to regress images to images with rigorous, distribution-free uncertainty quantification.

Date Created 2021-05-30 (3 years ago)

Commits 152 (last one about a year ago)

Stargazers 47 (1 this week)

Watchers 4 (0 this week)

Forks 9

License mit

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RepositoryStats indexes 534,551 repositories, of these aangelopoulos/im2im-uq is ranked #445,607 (17th percentile) for total stargazers, and #354,805 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #83,158/103,470.

aangelopoulos/im2im-uq is also tagged with popular topics, for these it's ranked: machine-learning (#6,428/7371), pytorch (#4,792/5588)

All Topics

mri unet pytorch microscopy uncertainty machine-learning quantile-regression computational-biology computational-imaging uncertainty-estimation biomedical-data-science image-to-image-translation uncertainty-quantification biomedical-image-processing

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

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The only known language in this repository is Python

updated: 2024-06-28 @ 06:35am, id: 372297597 / R_kgDOFjDPfQ