SkalskiP/vlms-zero-to-hero
A tutorial series teaching Vision-Language Models from NLP and Computer Vision fundamentals through Jupyter notebook implementations.
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This repository is a structured learning resource covering the fundamentals of NLP and Computer Vision, progressing toward Vision-Language Models. It includes Jupyter notebooks implementing key concepts like Word2Vec, BERT, GPT, and CLIP with PyTorch, referencing foundational papers and providing Colab links for interactive learning.
Frequently asked
- What is SkalskiP/vlms-zero-to-hero?
- A tutorial series teaching Vision-Language Models from NLP and Computer Vision fundamentals through Jupyter notebook implementations.
- Is vlms-zero-to-hero open source?
- Yes — SkalskiP/vlms-zero-to-hero is open source, released under the Apache-2.0 license.
- What language is vlms-zero-to-hero written in?
- SkalskiP/vlms-zero-to-hero is primarily written in Jupyter Notebook.
- How popular is vlms-zero-to-hero?
- SkalskiP/vlms-zero-to-hero has 1.2k stars on GitHub.
- Where can I find vlms-zero-to-hero?
- SkalskiP/vlms-zero-to-hero is on GitHub at https://github.com/SkalskiP/vlms-zero-to-hero.