Jina AI at Hackoberfest 2020

Original article was published by PSWU on Deep Learning on Medium

About Hackoberfest

Hackoberfest is a month-long (Oct. 1 to Oct. 31) event, celebrating open source software and open communities. Participants can get a Hackoberfest T-shirt if they successfully make 4 valid pull requests to any open source project on GitHub. Most importantly, it’s free and open for everyone. All you need to attend is your GitHub account and then register at the official website.

About Jina

Jina is an open-source search framework powered by deep-learning technology, empowering developers to build cross-modal or multi-modal search systems for text, images, video, and audio.

As a fairly young open source project, Jina was first released on GitHub in April 2020. The project is currently under heavy development and is maintained by a full-time, venture-backed team.

Thus, this is a great opportunity for contributors to make real impact. 💻 🙋

To give you some idea about how Jina can be used in the real world, here are some use cases created by our community members:

But of course, there are more possibilities to be explored!

Jina’s core components are written mostly in Python. We also make use of other open source software stacks such as Tensorflow, Docker, PyTorch, Hugging Face, etc.

Check out Jina’s repo on Github!

Contributing to Jina — where to start?

Whether you’re a beginner or a veteran, we welcome all kinds of contributors from the open-source community. We would love to have more and more active contributors or even users working together with our team.

Aligning with what is communicated by Hackoberfest, Jina’s team also values quality over quantity.

Before you submit your pull request, make sure you you have read through:

  1. Hackoberfest’s participation rules and quality standards
  2. Jina’s contribution guideline
  3. Jina’s code of conduct

Apart from that, please do not hesitate to join our Slack community if you need more guidance on contributing to Jina. We look forward to seeing your pull requests!