The repository also provides a guide on how to set up the local environment to run the tutorials and notebooks. It encourages contributions in the form of pull requests or raising issues for any problems or suggestions. The repository is licensed under the MIT License.
Key takeaways:
- The Transformer Tutorials repository is dedicated to explaining the intricacies of transformer models in deep learning, from foundational concepts to advanced applications and research topics.
- The tutorials cover a wide range of topics, from basics and introduction to advanced topics and specialized applications.
- To run the tutorials and notebooks on your local machine, you need to clone the repository, set up a virtual environment, install necessary packages, and launch Jupyter Notebook.
- Contributions to the repository are welcome, and users can submit pull requests or raise issues if they find any problems or have suggestions.