We have been experimenting with trying to demystify the ML tooling space for over a year now. apart from this being a very difficult endeavor due to the diverse nature of this nascent field, there is not much info out there on what common tools do and when you should use one or the other.
We are not proponents of blindly choosing a stack because it's the newest shiny tool that has a ton of hype around it this week.
However, there are many tools out there and we would like to try to help you understand what exactly they do and how they do it.
We are always looking for feedback on this project, please reach out if you have a suggestion on how this could be more valuable to you.