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Deep learning framework for the mlr3 ecosystem based on torch

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* [ ] pass parameters to dataloader * [ ] Specify how often to do validation (every epoch probably not always needed).

* [ ] clean up references

This should maybe be an issue in `mlr3pipelines`, but I am just writing down my idea here. The problem is that validation does not work when being in a `Graph`,...

Also consider this: https://github.com/mlr-org/mlr3/pull/977/files

* [ ] Change status in the overview page

documentation
good first issue

Some predefined callbacks we might want to support: * [ ] LR scheduler * [ ] Writing files in tensorboard format: https://github.com/mlverse/tfevents * [ ] Experiment Tracking using guildai-r: https://github.com/guildai/guildai-r...

enhancement
good first issue
Prio: Low

In the weekly run however we want to ensure that the downloads still work