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To be honest that is not really true for many ML implementations from papers. Often, I will pull a repo and it will be half-baked, or, only works on python 2.4
by dnautics 6y ago
To be honest that is not really true for many ML implementations from papers. Often, I will pull a repo and it will be half-baked, or, only works on python 2.4, or have a broken dependency on something or another (zmq was common issue for a hot sec), or not publish weights, or be in tf when I want torch, or be in torch when I want tf, etc.
- cs702 6y agoYes, I agree: a lot of code is indeed half-baked! But good papers tend to have better-than-average code, and ~100% of the time, the code is in Python, not some other language.