skaftenicki / dtu_mlops Goto Github PK

Given what is currently in the course, it might be worth considering to mention pytorch-lightning's LightningCLI. Already pytorch-lightning is in M14 - Minimizing boilerplate. But LightningCLI could be a good complement to what is in other sections. The main goals that LightningCLI addresses are:

• Automatically save the full config (reproducibility)
• Separation of code from config (good practice)
• Make things automatically configurable (minimize boilerplate)

When the code is well written, i.e. parameters with type hints, descriptions in docstrings, defined where they are used (M7 - Good coding practice), all of these parameters automatically become configurable M10 - Config files. There is no need to learn how to use another framework like Hydra.

Hi, I think I briefly tested the answers you added three days ago and made a pull request to fix the error, I think today my friend was doing the homework and she asked me why the "official answer" is not working, would you please check my pull request or just modified the tiny errors inside your code? Thank you so much for this amazing open source course:)!

Unfortunately, I cannot access the video "Scalable Applications" from the Timeplan via this link and I receive the following error:

Past DTU msc. Would love to help if you guys need!

When running the commands in the beginning of module 22 I got following error message:

{"message":"API rate limit exceeded for 192.38.81.6. (But here's the good news: Authenticated requests get a higher rate limit. Check out the documentation for more details.)","documentation_url":"https://docs.github.com/rest/overview/resources-in-the-rest-api#rate-limiting"}

I guess to many people calling the API from the same IP without Authentication is tinkering some safety features.