# titu1994/Super-Resolution-using-Generative-Adversarial-Networks

<https://repo.masters-masters.com/en/repos/titu1994/Super-Resolution-using-Generative-Adversarial-Networks>

[Home](https://repo.masters-masters.com/en) › [titu1994](https://repo.masters-masters.com/en/owners/titu1994) › [Super-Resolution-using-Generative-Adversarial-Networks](https://repo.masters-masters.com/en/repos/titu1994/Super-Resolution-using-Generative-Adversarial-Networks)

titu1994/Super-Resolution-using-Generative-Adversarial-Networks has 281 stars on GitHub. Its RepoMasters card: Alpha tier. An implementation of SRGAN model in…

| Field | Value |
| --- | --- |
| Owner | [titu1994](https://repo.masters-masters.com/en/owners/titu1994) |
| Stars | 281 |
| Forks | 84 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2016 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [titu1994/Super-Resolution-using-Generative-Adversarial-Networks](https://github.com/titu1994/Super-Resolution-using-Generative-Adversarial-Networks) |

## Repository

An implementation of SRGAN model in Keras

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

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