implement deep learning paper
r/MachineLearning - [Project] Resources to learn to implement deep learning papers
This might be somewhat more specific to deep RL, but I am sure that there is plenty of information for reproducing generic ML models too. Some papers are quite easy to reproduce, such as the VAE, GAN, flow networks, and of course standard deep nets such as Resnet. Figure out what papers you like, start working on the code, and when you are done (or if you are stuck) look at repositories online that most likely do it much better/efficient and learn from that. Oh small edit: always start experimenting on small data sets, make sure that your implementation works on even the easiest toy example.