The Official DagsHub Machine Learning and AI Challenges for Hacktoberfest 2023
Join us for a month-long celebration of open-source contributions to Machine Learning and AI projects. Gain hands-on experience building datasets, models, pipelines, and more! From non-code contributors to Binary Sorcerers, everyone is welcome – Check out ways to get involved.
Hacktoberfest is a month-long virtual festival of open source. Participants worldwide and of all skill levels give back to the community by donating to open-source projects. Celebrating its 10th anniversary, Hacktoberfest has contributed 2.35 million pull requests to open-source projects so far!
CONTRIBUTORS
How to participate in DagsHub’s Machine Learning Challenge during Hacktoberfest?
Register to DagsHub and Hacktoberfest anytime between September 26 and October 31.
Choose a project from the list below or any DagsHub hosted project participating in Hacktoberfest (search for projects with the “hacktoberfest” topic).
Submit pull requests on both DagsHub and GitHub. If it’s not a challenge listed below, make sure to open a pull request on our Hacktoberfest-Issues project on GitHub.
Your pull/merge requests must be accepted by the project maintainers to count towards your total contributions.
The first 10 participants whose initial 10 PR/MR on the Intermediate and Advanced challenges are accepted will get a DagsHub swag package!
The first 10 participants whose initial 10 PR/MR on the No-code and Beginner challenges are accepted will get a DagsHub stickers.
MAINTAINERS
How do you get Contributions for your Machine Learning Project?
Make your repository Hacktoberfest-ready by adding the “hacktoberfest” topic.
Add the “hacktoberfest” label to issues you’d like contributors to assist with a difficulty level label: “good first issue”, “intermediate”, “advanced”.
Review pull/merge requests, accepting those that are valid by merging them and adding the “hacktoberfest-accepted” label.
Find the issue on our Hacktoberfest-Issues repository, and mark it with the “hacktoberfest-accepted” label.
Start Contributing to Open Source Machine Learning Projects