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{{ cookiecutter.repo_name }}

{{cookiecutter.project_name}}

{{cookiecutter.description}}

Background

Folder Structure

  • data: Sample data for demo purposes
  • docs: If main README.md is not enough
  • notebooks: Jupyter notebooks / tutorials
  • res: Relevant resources, e.g. images for the documentation
  • scripts: Scripts for automating tasks
  • src: All sourcecode files specific to this project
  • tests Unit tests
  • ...

Installation

  1. Clone this repository:

{% if cookiecutter.team == 'AI' -%}

git clone https://github.com/Amsterdam-AI-Team/{{ cookiecutter.repo_name }}.git

{% elif cookiecutter.team == 'intern' %}

git clone https://github.com/AmsterdamInternships/{{ cookiecutter.repo_name }}.git

{% endif %}

  1. Install all dependencies:

{% if cookiecutter.env_management == 'pip' %}

pip install -r requirements.txt

{% elif cookiecutter.env_management == 'conda' %}

conda env create -f environment.yml

{% endif %}

The code has been tested with Python x.x on Linux/MacOS/Windows.

Usage

How it works

Can be divided in subsections:

input

algorithm

output

OR

training

prediction

evaluation

Contributing

{% if cookiecutter.team == 'AI' -%}

Feel free to help out! [Open an issue](https://github.com/Amsterdam-AI-Team/{{ cookiecutter.repo_name }}/issues), submit a [PR](https://github.com/Amsterdam-AI-Team/{{ cookiecutter.repo_name }}/pulls) or contact us.

{% elif cookiecutter.team == 'intern' %}

Feel free to help out! [Open an issue](https://github.com/AmsterdamInternships/{{ cookiecutter.repo_name }}/issues), submit a [PR](https://github.com/AmsterdamInternships/{{ cookiecutter.repo_name }}/pulls) or contact us.

{% endif %}

Acknowledgements

{% if cookiecutter.team == 'AI' -%} This repository was created by Amsterdam Intelligence for the City of Amsterdam.

{% elif cookiecutter.team == 'intern' %} This repository was created in collaboration with Amsterdam Intelligence for the City of Amsterdam.

{% endif %}

Optional: add citation or references here.

License

This project is licensed under the terms of the European Union Public License 1.2 (EUPL-1.2).