Training materials
Difficulty level: Not specified
and Contributors: Emily Angiolini or Kaivan Kamali or Kenza Bazi-Kabbaj or Prof. Marc Streit or Prof. Tom Freeman or Rami Krispin or Roland Krause
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RamiKrispin/Introduction-to-Docker
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RamiKrispin/vscode-r
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RamiKrispin/vscode-python
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RamiKrispin/shinylive-r
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hands-on tutorial
Hands-on for 'Evaluating and ranking a set of pathways based on multiple metrics' tutorial
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hands-on tutorial
Hands-on for 'Designing plasmids encoding predicted pathways by using the BASIC assembly method' tutorial
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hands-on tutorial
Hands-on for 'Generating theoretical possible pathways for the production of Lycopene in E.Coli using Retrosynthesis tools' tutorial
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hands-on tutorial
Hands-on for 'Image classification in Galaxy with fruit 360 dataset' tutorial
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hands-on tutorial
Hands-on for 'Deep Learning (Part 2) - Recurrent neural networks (RNN)' tutorial
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slides
Slides for 'Recurrent neural networks (RNN) Deep Learning - Part 2' tutorial
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