# vandit15/Class-balanced-loss-pytorch

<https://repo.masters-masters.com/en/repos/vandit15/Class-balanced-loss-pytorch>

[Home](https://repo.masters-masters.com/en) › [vandit15](https://repo.masters-masters.com/en/owners/vandit15) › [Class-balanced-loss-pytorch](https://repo.masters-masters.com/en/repos/vandit15/Class-balanced-loss-pytorch)

vandit15/Class-balanced-loss-pytorch has 801 stars on GitHub. Its RepoMasters card: Beta tier. Pytorch implementation of the paper "Class-Balanced Loss Based…

| Field | Value |
| --- | --- |
| Owner | [vandit15](https://repo.masters-masters.com/en/owners/vandit15) |
| Stars | 801 |
| Forks | 122 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2019 |
| Topics | pytorch, cvpr2019, loss-functions, deep-learning, computer-vision |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [vandit15/Class-balanced-loss-pytorch](https://github.com/vandit15/Class-balanced-loss-pytorch) |

## Repository

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

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.
