# christiansafka/img2vec

<https://repo.masters-masters.com/en/repos/christiansafka/img2vec>

[Home](https://repo.masters-masters.com/en) › [christiansafka](https://repo.masters-masters.com/en/owners/christiansafka) › [img2vec](https://repo.masters-masters.com/en/repos/christiansafka/img2vec)

christiansafka/img2vec has 626 stars on GitHub. Its RepoMasters card: Alpha tier. :fire: Use pre-trained models in PyTorch to extract vector embeddings for…

| Field | Value |
| --- | --- |
| Owner | [christiansafka](https://repo.masters-masters.com/en/owners/christiansafka) |
| Stars | 626 |
| Forks | 98 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2017 |
| Topics | pytorch, deep-learning |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [christiansafka/img2vec](https://github.com/christiansafka/img2vec) |

## Repository

:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

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

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