Sharing a project I’ve been working on in spare time: Papers with Code.
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/PyTorch/MXNet/etc. Lastly, you can search for papers and choose a code implementation of your choice.
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.
Let me know your thoughts, and if there’s any other feature ideas you have for the site,
Sharing a project I’ve been working on in spare time: Papers with Code.
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/PyTorch/MXNet/etc. Lastly, you can search for papers and choose a code implementation of your choice.
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.
Let me know your thoughts, and if there’s any other feature ideas you have for the site,
Thanks! Robert