[D] What side projects could help an undergraduate stand out when applying to graduate programs in ML?
I have implemented two research papers and am trying to get more involved in research over the next year (3rd year) at my university, but I’d like to push it to compensate for some unfortunate grades? What are some side projects that could really help? Contribute to a DL framework like PyTorch or Tensorflow? Implement/replicate a lot more research papers? Thanks!