AdeelH / pytorch-multi-class-focal-loss

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Date Created 2020-09-03 (4 years ago)

Commits 23 (last one 2 years ago)

Stargazers 233 (0 this week)

Watchers 3 (0 this week)

Forks 26

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RepositoryStats indexes 633,559 repositories, of these AdeelH/pytorch-multi-class-focal-loss is ranked #168,791 (73rd percentile) for total stargazers, and #418,320 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #30,418/129,482.

AdeelH/pytorch-multi-class-focal-loss is also tagged with popular topics, for these it's ranked: deep-learning (#3,336/8818), machine-learning (#3,166/8412), pytorch (#2,318/6221), neural-network (#464/1138), classification (#187/573)

Other Information

There have been 3 releases, the latest one was published on 2024-01-22 (about a year ago) with the name 1.2.

All Topics

pytorch retinanet deep-learning classification loss-functions neural-network machine-learning imbalanced-classes pytorch-implementation multiclass-classification implementation-of-research-paper

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The only known language in this repository is Python

updated: 2025-03-27 @ 07:07pm, id: 292520399 / R_kgDOEW-Bzw