# cientgu/GIQA

<https://repo.masters-masters.com/en/repos/cientgu/GIQA>

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

cientgu/GIQA has 219 stars on GitHub. Its RepoMasters card: Prototype tier. Pytorch implementation of Generated Image Quality Assessment Language: Python.

| Field | Value |
| --- | --- |
| Owner | [cientgu](https://repo.masters-masters.com/en/owners/cientgu) |
| Stars | 219 |
| Forks | 31 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2020 |
| Topics | generative-model, image-quality-assessment, generative-adversarial-networks |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [cientgu/GIQA](https://github.com/cientgu/GIQA) |

## Repository

Pytorch implementation of Generated Image Quality Assessment

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.