Hacktoberfest 2023
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.
What is Hacktoberfest?
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?
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Register to DagsHub and Hacktoberfest anytime between September 26 and October 31.
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Choose a project from the list below or any DagsHub hosted project participating in Hacktoberfest (search for projects with the “hacktoberfest” topic).
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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.
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Your pull/merge requests must be accepted by the project maintainers to count towards your total contributions.
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The first 10 participants whose initial 10 PR/MR on the Intermediate and Advanced challenges are accepted will get a DagsHub swag package!
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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?
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Make your repository Hacktoberfest-ready by adding the “hacktoberfest” topic.
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Add the “hacktoberfest” label to issues you’d like contributors to assist with a difficulty level label: “good first issue”, “intermediate”, “advanced”.
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Review pull/merge requests, accepting those that are valid by merging them and adding the “hacktoberfest-accepted” label.
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Find the issue on our Hacktoberfest-Issues repository, and mark it with the “hacktoberfest-accepted” label.
Start Contributing to Open Source Machine Learning Projects
Open Source Machine Learning Projects in the Spotlight
CheXNet
Reimplementation of CheXNet paper – Classification and Localization of Thoracic Diseases
DPT
LLM-based bot designed to help answer questions using prompt engineering and OpenAI AP
Squirrel Detector
An Active Learning based model trained to squirrels objects in images
