First off we wanted to thank you for taking the time to contribute to the project.
We make use of a mentorship program, which caters to ambitious students looking to make an impact on open-source and develop a portfolio of work based on financial machine learning.
This allows us to establish organised collaboration and control the level of code quality.
We do encourage external contributions which are sourced by members of our community, Slack Channel,
We have quite a rigorous process of unit testing, code style checks, and documentation.
We have created templates to help aid in creating issues and PRs:
- Bug report
- Feature request
- Custom issue template
- Pull Request Template
We host a booming community of like minded data scientists and quants, join the Slack Channel now! Open to sponsors of our package.
The channel has the following benefits:
- Community of like minded individuals.
- Ask questions about the package implementations and get community feedback.
- Occasional presentations on topics within financial machine learning.
- A papers channel where we share the papers which are freely available.
- Access to members of our research group.
Looking forward to hearing from you!