Hacktoberfest is a month-long virtual festival of open source! Participants are giving back to the community by completing pull requests, participating in events, and donating to open-source projects. This project is part of Hacktoberfest 2022, where participants enrich the Open Source Data Science domain by adding datasets and models to existing code repos.
- Sign-up to Hacktoberfest & DagsHub.
- Join our Hacktoberfest Discord channel.
- Read the contribution guidelines.
- Create a Pull Requests on the Papers With Everything with the README of your DagsHub Project.
Promoting Open Source Data Science has always been a core value for us at DagsHub. We've promoted it in various ways, including sponsoring the Reproducibility Challenge by Papers with Code to make SOTA paper accessible to the ML community.
This year, we decided to combine the open source festival of Hacktoberfest and the Reproducibility Challenge to create THE Grand Festival of Open Source Data Science!
In this challenge, participants will connect repos from GitHub to DagsHub that host reproduced papers from NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, and ECCV, and add their datasets and model's weights to DagsHub Storage.
- Claim a paper you wish to contribute from the SOTA 3D or object-detection papers (KUDOS to Papers With Code) by opening a new issue on the GitHub repository and name it after the paper. Please make sure that the paper wasn't claimed.
- Connect the paper’s repository from GitHub to DagsHub.
- Upload the data and model to its DagsHub storage.
- Add relevant tags to the repository and files.
- Add the following labels to the repository:
3D Model/object detectionhacktoberfest
- In the GitHub papers-with-everything project:
- Open a new branch named after the paper.
- Add a directory named after the paper with its README file.
- Commit and push the changes to GitHub.
- Create a pull request on GitHub.
- Optional: Connect the DagsHub repo to Papers with Code.