# cvqluu/Angular-Penalty-Softmax-Losses-Pytorch

<https://repo.masters-masters.com/en/repos/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch>

[Home](https://repo.masters-masters.com/en) › [cvqluu](https://repo.masters-masters.com/en/owners/cvqluu) › [Angular-Penalty-Softmax-Losses-Pytorch](https://repo.masters-masters.com/en/repos/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch)

cvqluu/Angular-Penalty-Softmax-Losses-Pytorch has 499 stars on GitHub. Its RepoMasters card: Alpha tier. Angular penalty loss functions in Pytorch (ArcFace…

| Field | Value |
| --- | --- |
| Owner | [cvqluu](https://repo.masters-masters.com/en/owners/cvqluu) |
| Stars | 499 |
| Forks | 90 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | metric-learning, pytorch, loss-functions, loss-function, embedding, face-verification, fashion-mnist, fmnist-dataset, face-recognition, speaker-recognition |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [cvqluu/Angular-Penalty-Softmax-Losses-Pytorch](https://github.com/cvqluu/Angular-Penalty-Softmax-Losses-Pytorch) |

## Repository

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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