# SkalskiP/vlms-zero-to-hero

<https://repo.masters-masters.com/en/repos/SkalskiP/vlms-zero-to-hero>

[Home](https://repo.masters-masters.com/en) › [SkalskiP](https://repo.masters-masters.com/en/owners/SkalskiP) › [vlms-zero-to-hero](https://repo.masters-masters.com/en/repos/SkalskiP/vlms-zero-to-hero)

SkalskiP/vlms-zero-to-hero has 1,186 stars on GitHub. Its RepoMasters card: Beta tier. This series will take you on a journey from the fundamentals of NLP and…

| Field | Value |
| --- | --- |
| Owner | [SkalskiP](https://repo.masters-masters.com/en/owners/SkalskiP) |
| Stars | 1,186 |
| Forks | 104 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | Apache-2.0 |
| Created | 2024 |
| Topics | bert-model, clip, computer-vision, embeddings, gpt, gpt-2, lora, natural-language-processing, seq2seq, vision-language-model |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [SkalskiP/vlms-zero-to-hero](https://github.com/SkalskiP/vlms-zero-to-hero) |

## Repository

This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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