This repository serves as the template for implementations created by the Vector AI Engineering team. It is designed to be used as a starting point for bootcamps, labs, or workshops.
Add info on the implementations.
- docs/: Contains detailed documentation, additional resources, installation guides, and setup instructions that are not covered in this README.
- implementations/: Implementations are organized by topics. Each topic has its own directory containing notebooks, and a README for guidance.
- pyproject.toml: The
pyproject.tomlfile in this repository configures various build system requirements and dependencies, centralizing project settings in a standardized format.
Each topic within the [choice of bootcamp/lab/workshop] has a dedicated directory in the implementations/ directory. In each directory, there is a README file that provides an overview of the topic, prerequisites, and notebook descriptions.
Here is the list of the covered topics:
- [Implementation 1]
- [Implementation 2]
To get started with this bootcamp (Change or modify the following steps based your needs.):
- Clone this repository to your machine.
- Include setup and installation instructions here. For additional documentation, refer to the
docs/directory. - Begin with each topic in the
implementations/directory, as guided by the README files.
Add appropriate LICENSE for this bootcamp in the main directory. This project is licensed under the terms of the LICENSE file located in the root directory of this repository.
Add appropriate CONTRIBUTING.md for this bootcamp in the main directory. To get started with contributing to our project, please read our CONTRIBUTING.md guide.
For more information or help with navigating this repository, please contact [Vector AI ENG Team/Individual] at [Contact Email].