Fellow deep learners,
It has been a few years now that I play with machine learning/deep learning.
Up to now, I was able to run models on my own machine (provided by the office, Windows) & google colab. However, I am faced today with the desire to use a library that is only available in linux.
- I therefore can’t use my office machine (Windows only).
- I did not suceed installing the package on Colab. Docker seems to not be available under colab even following these advices (if someone has a colab notebook with docker working & associated commands to install, I would gladly take it)
Therefore, I am left with AWS, Google Cloud, Paperspace & similar options. I am wondering how some of you guys go about this ?
- On AWS, up to now, I was only able to get a CLI interface (a graphical interface using linux was too slow). But on my machine, I am using VScode for debugging, … using the CLI for debugging with e.g. VI seems so odd to me. Is this a mandatory step in order to work with deep learning on the cloud ?
- I did not test paperspace yet but I am wondering if I will not face the same issues as on Google colab regarding docker
- I guess I could use jupyter notebook to stream from the AWS machine to an IP which I can access from a web browser. But then again, debugging capabilities in jupyter notebook are not so good as in VScode. Is then nbdev the way to go ? And also, wouldn’t I run in the same docker issues as in google colab ?
Any advice would be appreciated. I am trying to get up to speed in managing deep learning models in a more professional way at the moment and this bugs me like nothing that I am stuck because of hardware things 
Thanks in advance for your help and time !