Source: GitHub Blog | Author : Tiferet Gazit
항상 오픈 소스 프로젝트에 참여하고 싶었지만 어디서부터 시작해야할지 모르겠습니까? 명성을 쌓고 싶었지만 간단한 것으로 시작하고 싶니까? GitHub는 이제 오픈 소스에 기여하기위한 좋은 첫 이슈를 찾는 데 도움을 줍니다.
There are several ways to find more information and get started with contributing to open source:
- If there’s a particular topic that interests you, visit
github.com/topics/<topic>. For example, machine learning enthusiasts can visit github.com/topics/machine-learning to find relevant projects and starter issues. You can also browse popular topics by visiting github.com/topics.
- If you already know which project you want to work on, find beginner-friendly issues for that project by visiting
github.com/<owner>/<repository>/contribute. For example, you can find ways to make your first contribution to
- If you’ve been active on GitHub, your past contributions, stars, and other activities are used to offer personalized recommendations for projects you might like. Visit github.com/explore to see your curated list.
Using any of these options, you can see a list of projects and a few beginner-friendly issues we recommend reviewing to help you get started. You can also click More good first issues or visit
github.com/<owner>/<repo>/contribute for the project you’re interested in to see a complete list.
How did we do it?
We’re glad you asked. Learn about the machine learning algorithms that made this feature a reality in our engineering post. We cover everything from how we detect positive training samples to the deep learning algorithms used and the infrastructure needed to keep the results fresh and relevant.
Our algorithm is constantly evolving—be sure to come back to see what new recommendations we have for you.
Do you have an idea about how to improve the good first issues feature? Contact us and let us know. Happy open-sourcing!