> ideally, a list of papers that could take 2-5 hours each and a few hundred lines of code? I think you are severely underestimating the time required, unless

> ideally, a list of papers that could take 2-5 hours each and a few hundred lines of code? I think you are severely underestimating the time required, unless you are quite experienced, know exactly what to look for, or the paper is just a slight variation on previous work that you are already familiar with. Even seasoned researchers can easily spend 30+ hours on trying to reproduce a paper, because papers almost never contain all the details that went into the experiments. You are left with a lot of fiddling and iteration. Of course, if you only care about roughly reproducing what the authors did, and don't care about getting the same results, the time can be much shorter. If the code is available that's even better, but looking at it is cheating since wrestling with issues yourself is a big part of the learning process. A few people here mentioned Andrej's lectures, and I also think they are amazing, but they are not a replacement for getting stuck and solving problems yourself. You can easily watch these lectures and think "I get it!" because everything is so well explained, but you'll probably still be stuck when you run into your own problems trying to reproduce papers from scratch. There's no replacement for the experience you gain by struggling :) It's like watching a math lecture and thinking you get it, but then getting stuck at the exercise problems. The real learning happens when you force yourself to struggle through the exercises.