dlmacedo / distinction-maximization-loss

A project to improve out-of-distribution detection (open set recognition) and uncertainty estimation by changing a few lines of code in your project! Perform efficient inferences (i.e., do not increase inference time) without repetitive model training, hyperparameter tuning, or collecting additional data.

Date Created 2022-05-10 (2 years ago)

Commits 40 (last one 2 years ago)

Stargazers 45 (0 this week)

Watchers 3 (0 this week)

Forks 5

License apache-2.0

Ranking

RepositoryStats indexes 579,555 repositories, of these dlmacedo/distinction-maximization-loss is ranked #484,727 (16th percentile) for total stargazers, and #420,420 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #92,983/115,123.

dlmacedo/distinction-maximization-loss is also tagged with popular topics, for these it's ranked: deep-learning (#7,266/8344), machine-learning (#6,917/7877), pytorch (#5,124/5914), classification (#465/534), anomaly-detection (#266/323)

Other Information

dlmacedo/distinction-maximization-loss has Github issues enabled, there is 1 open issue and 3 closed issues.

All Topics

ood osr pytorch open-set ai-safety deep-learning ood-detection classification trustworthy-ai machine-learning anomaly-detection novelty-detection out-of-distribution open-set-recognition uncertainty-estimation robust-machine-learning trustworthy-machine-learning out-of-distribution-detection

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Recent Commit History

40 commits on the default branch (master) since jan '22

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The primary language is Python but there's also others...

updated: 2024-05-07 @ 03:00pm, id: 490491564 / R_kgDOHTxOrA