[BenoitP]

No. Several weeks is the time it takes to learn and master Docker.

About two hours is the cumulative time one must cater to the Dockerfile for a 3 weeks project.

But it requires institution insisting on reproducibility, and fostering best practices to make it even easier for the researchers to be compliant.

I get it that reproducibility can be quite hard for biology. But ML cannot be taken as an example of a hard problem.

[matusp]

I agree that docker is great. But docker solves only one of the problems mentioned above (env) and even that solution does not work for some teams that run their experiments in GPU clusters where docker is not supported.