# dingkeyan93/Intrinsic-Image-Popularity

<https://repo.masters-masters.com/en/repos/dingkeyan93/Intrinsic-Image-Popularity>

[Home](https://repo.masters-masters.com/en) › [dingkeyan93](https://repo.masters-masters.com/en/owners/dingkeyan93) › [Intrinsic-Image-Popularity](https://repo.masters-masters.com/en/repos/dingkeyan93/Intrinsic-Image-Popularity)

dingkeyan93/Intrinsic-Image-Popularity has 238 stars on GitHub. Its RepoMasters card: Prototype tier. The pytorch code of the paper "Intrinsic Image…

| Field | Value |
| --- | --- |
| Owner | [dingkeyan93](https://repo.masters-masters.com/en/owners/dingkeyan93) |
| Stars | 238 |
| Forks | 51 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2018 |
| Topics | popularity-prediction, social-media, instagram, dataset, neural-network, image-popularity, metrics, pytorch |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [dingkeyan93/Intrinsic-Image-Popularity](https://github.com/dingkeyan93/Intrinsic-Image-Popularity) |

## Repository

The pytorch code of the paper "Intrinsic Image Popularity Assessment"

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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