# MaxZanella/CLIP-LoRA

<https://repo.masters-masters.com/en/repos/MaxZanella/CLIP-LoRA>

[Home](https://repo.masters-masters.com/en) › [MaxZanella](https://repo.masters-masters.com/en/owners/MaxZanella) › [CLIP-LoRA](https://repo.masters-masters.com/en/repos/MaxZanella/CLIP-LoRA)

MaxZanella/CLIP-LoRA has 300 stars on GitHub. Its RepoMasters card: Alpha tier. An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank…

| Field | Value |
| --- | --- |
| Owner | [MaxZanella](https://repo.masters-masters.com/en/owners/MaxZanella) |
| Stars | 300 |
| Forks | 33 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | AGPL-3.0 |
| Created | 2024 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [MaxZanella/CLIP-LoRA](https://github.com/MaxZanella/CLIP-LoRA) |

## Repository

An easy way to apply LoRA to CLIP. Implementation of the paper "Low-Rank Few-Shot Adaptation of Vision-Language Models" (CLIP-LoRA) \[CVPRW 2024\].

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.