I am somewhat disappointed with the lack of replicability in the field of machine learning and computer science. I think there is not much excuse for releasing a ML paper on a new algorithm or modeling technique without a link to a source code repo. Sure, your research code may not be pretty, but that should not be a deal-breaker. I hope reviewers start rewarding papers with links to source code. This should also stimulate refactoring, documenting, and cleaning up the linked source code.

Also a standard unified process for replicability, reproducibility, and reuse is needed. Dock points for not stating random seeds, hardware used, metadata, etc.