Hey, HN! I'm one of the creators of DAGsHub(https://dagshub.com). As some of you might know, there's an ML Reproducibility Challenge(https://paperswithcode.com/rc2020) happening now, organized by Papers with Code, with some of the leading ML conferences. If you haven't heard about it, or didn't consider joining, I think that it provides an awesome opportunity for a number of reasons:<p>- It's a chance to work on SOTA research, with a clearly defined goal – I personally took part in the last round of the challenge and it was a lot of fun and very challenging (I learned a lot from the other participants).
- You can create a cool project for your portfolio.
- You'll be helping to advance the field by making sure that research results are replicable.<p>I personally care a lot about ML reproducibility, and making machine learning projects easily reproducible is one of the reasons we started DAGsHub in the first place.<p>We've decided to support the challenge, by providing participants $500 per paper reproduced, to help cover compute costs and incentivize participation, as well as provide our platform and support from our team and community for the challenge.<p>This is not a challenge we started, and other organizations are supporting it as well, but we thought this might encourage more people to take part, and think that everyone would benefit.<p>You can read the full guidelines here: https://dagshub.com/pages/reproducibility-challenge<p>Would love to answer any questions you might have.