mlr3torch: Deep Learning with 'mlr3'

Deep Learning library that extends the mlr3 framework by building upon the 'torch' package. It makes it convenient to build, train, and evaluate deep learning models without having to worry about low level details. Custom architectures can be created using the graph language defined in 'mlr3pipelines'.

Options

• mlr3torch.cache: Whether to cache the downloaded data (TRUE) or not (FALSE, default). This can also be set to a specific folder on the file system to be used as the cache directory. Without caching, every task that downloads its data fetches it again in each session.

See also

Useful links:

• https://mlr3torch.mlr-org.com/

• https://github.com/mlr-org/mlr3torch/

• Report bugs at https://github.com/mlr-org/mlr3torch/issues

Author

Maintainer: Sebastian Fischer sebf.fischer@gmail.com (ORCID)

Authors:

• Sebastian Fischer sebf.fischer@gmail.com (ORCID)

• Martin Binder mlr.developer@mb706.com

Other contributors:

• Bernd Bischl bernd_bischl@gmx.net (ORCID) [contributor]

• Lukas Burk github@quantenbrot.de (ORCID) [contributor]

• Florian Pfisterer pfistererf@googlemail.com (ORCID) [contributor]

• Carson Zhang carsonzhang4@gmail.com [contributor]