ashishpatel26/Treasure-of-Transformers
A curated repository cataloging transformer-based NLP models including GPT-Neo, BERT, and other language models with associated papers, videos, and implementation notebooks.
Not currently ranked — collecting fresh signals.
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This repository aggregates resources for transformer models used in natural language processing. It contains a structured collection of deep learning algorithms with links to official repositories, research papers, blog posts, video explanations, and Google Colab notebooks demonstrating code implementations for each model.
Frequently asked
- What is ashishpatel26/Treasure-of-Transformers?
- A curated repository cataloging transformer-based NLP models including GPT-Neo, BERT, and other language models with associated papers, videos, and implementation notebooks.
- Is Treasure-of-Transformers open source?
- Yes — ashishpatel26/Treasure-of-Transformers is open source, released under the MIT license.
- What language is Treasure-of-Transformers written in?
- ashishpatel26/Treasure-of-Transformers is primarily written in Jupyter Notebook.
- How popular is Treasure-of-Transformers?
- ashishpatel26/Treasure-of-Transformers has 1.2k stars on GitHub.
- Where can I find Treasure-of-Transformers?
- ashishpatel26/Treasure-of-Transformers is on GitHub at https://github.com/ashishpatel26/Treasure-of-Transformers.