gpu_jupytool
1.0

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Run on Galaxy

Workflow Type: Galaxy

Stable

Associated Tutorial

This workflows is part of the tutorial A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy, available in the GTN

Thanks to...

Tutorial Author(s): Anup Kumar

Tutorial Contributor(s): Saskia Hiltemann, Helena Rasche, Kaivan Kamali, Anup Kumar, Björn Grüning, Martin Čech, Armin Dadras

Funder(s): ELIXIR Europe, de.NBI, University of Freiburg

Grants(s): EuroScienceGateway

SEEK ID: https://workflowhub.eu/workflows/1579?version=1

DOI: 10.48546/workflowhub.workflow.1579.1

Inputs

ID	Name	Description	Type
IPynb notebook	#main/IPynb notebook	n/a	File
test_rows	#main/test_rows	n/a	File
test_rows_labels	#main/test_rows_labels	n/a	File

Steps

ID	Name	Description
1	train_rows	Filter1
4	GPU enabled Interactive Jupyter Notebook for Machine Learning	interactive_tool_ml_jupyter_notebook
5	Cut	Cut1

Outputs

ID	Name	Description	Type
_anonymous_output_1	#main/_anonymous_output_1	n/a	File
_anonymous_output_2	#main/_anonymous_output_2	n/a	File
_anonymous_output_3	#main/_anonymous_output_3	n/a	File
_anonymous_output_4	#main/_anonymous_output_4	n/a	File

Version History

1.0 (earliest) Created 2nd Jun 2025 at 10:59 by GTN Bot

No revision comments

Frozen 1.0 bf6cf70

Creators and Submitter

Creator

Anup Kumar

Submitter

GTN Bot

Discussion Channel

GTN Matrix

Citation

Kumar, A. (2025). gpu_jupytool. WorkflowHub. https://doi.org/10.48546/WORKFLOWHUB.WORKFLOW.1579.1

License

Creative Commons Attribution 4.0 International (CC-BY-4.0)

Activity

Views: 1264 Downloads: 170 Runs: 0

Created: 2nd Jun 2025 at 10:59

Last updated: 28th Jul 2025 at 10:51

gpu_jupytool 1.0