# bermanmaxim/LovaszSoftmax

<https://repo.masters-masters.com/en/repos/bermanmaxim/LovaszSoftmax>

[Home](https://repo.masters-masters.com/en) › [bermanmaxim](https://repo.masters-masters.com/en/owners/bermanmaxim) › [LovaszSoftmax](https://repo.masters-masters.com/en/repos/bermanmaxim/LovaszSoftmax)

bermanmaxim/LovaszSoftmax has 1,410 stars on GitHub. Its RepoMasters card: Beta tier. Code for the Lovász-Softmax loss (CVPR 2018) Language: Jupyter Notebook.

| Field | Value |
| --- | --- |
| Owner | [bermanmaxim](https://repo.masters-masters.com/en/owners/bermanmaxim) |
| Stars | 1,410 |
| Forks | 265 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2018 |
| Topics | image-segmentation, pytorch, neural-networks, loss-functions |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [bermanmaxim/LovaszSoftmax](https://github.com/bermanmaxim/LovaszSoftmax) |

## Repository

Code for the Lovász-Softmax loss (CVPR 2018)

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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