# minimaxir/imgbeddings

<https://repo.masters-masters.com/en/repos/minimaxir/imgbeddings>

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

minimaxir/imgbeddings has 160 stars on GitHub. Its RepoMasters card: Prototype tier. Python package to generate image embeddings with CLIP without…

| Field | Value |
| --- | --- |
| Owner | [minimaxir](https://repo.masters-masters.com/en/owners/minimaxir) |
| Stars | 160 |
| Forks | 14 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | ai, transformers, onnx, images, image-processing, embeddings, clip |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [minimaxir/imgbeddings](https://github.com/minimaxir/imgbeddings) |

## Repository

Python package to generate image embeddings with CLIP without PyTorch/TensorFlow

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.