In this repository, you'll find code and resources for a group of workshops designed to help you grasp the fundamentals of embeddings in their use for Natural Language Processing.
[!TIP] The sessions are designed to be as practical as possible. All the necessary theoretical background that could be needed has been covered in a comprehensive course, available online here: Understanding Embeddings for Natural Language Processing - OpenHPI
- Vector databases
You can find instructions on how to prepare everything for the workshop here.
Contributions are always welcome!
See contributing.md for ways to get started.
Please adhere to this project's code of conduct.
- Adding references
- Improving and expanding test suite
- Installation instructions for all platforms
- Installation inscructions with venv and pip
- 2D UMAP Embeddings from Word2Vec model