gpu_jupytool 1.0
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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
Inputs
| ID | Name | Description | Type |
|---|---|---|---|
| IPynb notebook | #main/IPynb notebook | n/a |
|
| test_rows | #main/test_rows | n/a |
|
| test_rows_labels | #main/test_rows_labels | n/a |
|
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 |
|
| _anonymous_output_2 | #main/_anonymous_output_2 | n/a |
|
| _anonymous_output_3 | #main/_anonymous_output_3 | n/a |
|
| _anonymous_output_4 | #main/_anonymous_output_4 | n/a |
|
Version History
master
Creators and Submitter
Views: 39 Downloads: 3 Runs: 0
Created: 2nd Jun 2025 at 10:59
AttributionsNone
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Teams: Galaxy Training Network
Organizations: Galaxy
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