Supporting the ML Reproducibility Challenge

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: - 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. 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. 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. 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. You can read the full guidelines here: https://dagshub.com/pages/reproducibility-challenge Would love to answer any questions you might have.