Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition
Jupyter notebooks containing code examples for the book 'Transformers for NLP and Computer Vision' covering LLMs, vision transformers, and generative AI platforms.
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The repository provides hands-on notebooks demonstrating transformer architectures and large language models. It covers models like BERT, GPT-4o, DALL-E 3, DeepSeek-R1, and vision transformers for computer vision tasks. The code examples integrate with Hugging Face, OpenAI, Google Vertex AI, and other generative AI platforms to build NLP and multimodal applications.
Frequently asked
- What is Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition?
- Jupyter notebooks containing code examples for the book 'Transformers for NLP and Computer Vision' covering LLMs, vision transformers, and generative AI platforms.
- Is Transformers-for-NLP-and-Computer-Vision-3rd-Edition open source?
- Yes — Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition is open source, released under the MIT license.
- What language is Transformers-for-NLP-and-Computer-Vision-3rd-Edition written in?
- Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition is primarily written in Jupyter Notebook.
- How popular is Transformers-for-NLP-and-Computer-Vision-3rd-Edition?
- Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition has 496 stars on GitHub.
- Where can I find Transformers-for-NLP-and-Computer-Vision-3rd-Edition?
- Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition is on GitHub at https://github.com/Denis2054/Transformers-for-NLP-and-Computer-Vision-3rd-Edition.