# AdeelH/pytorch-multi-class-focal-loss

<https://repo.masters-masters.com/en/repos/AdeelH/pytorch-multi-class-focal-loss>

[Home](https://repo.masters-masters.com/en) › [AdeelH](https://repo.masters-masters.com/en/owners/AdeelH) › [pytorch-multi-class-focal-loss](https://repo.masters-masters.com/en/repos/AdeelH/pytorch-multi-class-focal-loss)

AdeelH/pytorch-multi-class-focal-loss has 239 stars on GitHub. Its RepoMasters card: Prototype tier. An (unofficial) implementation of Focal Loss, as…

| Field | Value |
| --- | --- |
| Owner | [AdeelH](https://repo.masters-masters.com/en/owners/AdeelH) |
| Stars | 239 |
| Forks | 24 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2020 |
| Topics | pytorch, deep-learning, loss-functions, classification, neural-network, retinanet, multiclass-classification, imbalanced-classes, pytorch-implementation, implementation-of-research-paper |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [AdeelH/pytorch-multi-class-focal-loss](https://github.com/AdeelH/pytorch-multi-class-focal-loss) |

## Repository

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

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.