Show HN: Papers with Code – trending ML research with available code

Hi all,<p>Sharing a project I’ve been working on in spare time: Papers with Code.<p>Papers with Code links the latest machine learning papers on ArXiv with code on GitHub. It allows you to see “trending research” allowing you to keep up-to-date with what’s popular in the ML community, as well as the most popular historical papers. Additionally it shows the framework the implementation was coded in: TensorFlow&#x2F;PyTorch&#x2F;MXNet&#x2F;etc. Lastly, you can search for papers and choose a code implementation of your choice.<p>Links are automatically scraped from arxiv papers and github repos, so in some cases e.g. the SNIPER repo there are three entries because this library implements three papers.<p>Let me know your thoughts, and if there’s any other feature ideas you have for the site,<p>Thanks! Robert

Really awesome piece of work!<p>Might need tags by datasets used, i.e. mnist is image classification, COCO is object recognition, etc.

This is amazing thanks so much! I think it is a great way to learn deep learning.