[D] How do you manage your machine learning experiments?
For a long time, I have been using old style spreadsheets to log the results of my experiments with columns like “dataset-version”, “git commit” “PARAMS” “results”…etc
However, I find that this became a pain to consistently fill and update those spreadsheets especially when performing hyper-param search.
There are many frameworks built to manage your ML experiments. I have collected a list below (thanks to the comment here). I would like to know if you have a favourite of the ones below or another
Weights and Biaseshttps://www.wandb.com/
ps: This maybe a repost but it is worth revisiting this topic since new frameworks are out.