Nilearn: Welcoming contributions ! #13
Description
Title
Nilearn: Welcoming contributions !
Leaders
Elizabeth DuPre (@emdupre on Discord)
Collaborators
No response
Project Description
- Nilearn is an existing Python library for statistical and machine learning analysis of brain imaging data
- The software is being actively developed and continues to welcome contributions !
- We have a large issue backlog to work on, including a number of good first issues
- Elizabeth is also available during Brainhack for any questions or discussions about using and extending Nilearn
Link to project repository/sources
https://github.com/nilearn/nilearn
Goals for Brainhack Montreal
- Welcome new contributors
- Raise awareness of pathways for contributing to Nilearn
Skills
- Python: Basic
- git/GitHub: Basic
Tech stack
No response
Onboarding documentation / Expectations
Our contributing guide : https://nilearn.github.io/stable/development.html
Our documentation : https://nilearn.github.io
What will participants learn?
Participants can learn more about Python, machine learning, statistical analysis, git/GitHub workflows, and continuous integration.
Data to use
No response
Credit to collaborators
Contributors are listed at : https://nilearn.github.io/stable/authors.html
Image
https://github.com/nilearn/nilearn/blob/main/doc/logos/nilearn-logo.png
Type
coding_methods
Project Maturity Status
2 - releases existing
Topic
machine_learning
Tools
other
Programming language
Python
Modalities
fMRI
Git skills
3_continuous_integration
Anything else?
No response
Things to do after the project is submitted and ready to review.
- Short summary of your project pitch to present during the hackathon.