Kaivan Kamali

Contributions

The following list includes only slides and tutorials where the individual or organisation has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.

9 Tutorials

• Statistics and machine learning / Image classification in Galaxy with fruit 360 dataset ✍️ 🧐
• Statistics and machine learning / A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy 🧐
• Statistics and machine learning / Deep Learning (Part 3) - Convolutional neural networks (CNN) ✍️ 🧐
• Statistics and machine learning / Deep Learning (Part 2) - Recurrent neural networks (RNN) ✍️ 🧐
• Statistics and machine learning / Deep Learning (Part 1) - Feedforward neural networks (FNN) ✍️ 🧐

7 Slides

• Statistics and machine learning / Image classification in Galaxy with fruit 360 dataset ✍️ 🧐
• Statistics and machine learning / Convolutional neural networks (CNN) Deep Learning - Part 3 ✍️
• Statistics and machine learning / Recurrent neural networks (RNN) Deep Learning - Part 2 ✍️ 🧐
• Statistics and machine learning / Feedforward neural networks (FNN) Deep Learning - Part 1 ✍️ 🧐

8 Video Recordings

• Foundations of Data Science / R basics in Galaxy 💬
• Statistics and machine learning / Image classification in Galaxy with fruit 360 dataset 💬 🗣
• Statistics and machine learning / Deep Learning (Part 3) - Convolutional neural networks (CNN) 🗣
• Statistics and machine learning / Deep Learning (Part 2) - Recurrent neural networks (RNN) 💬 🗣
• Statistics and machine learning / Deep Learning (Part 1) - Feedforward neural networks (FNN) 💬 🗣

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GitHub Activity

github Issues Reported

17 Merged Pull Requests

See all of the github Pull Requests and github Commits by Kaivan Kamali.

• Fixed the extra WF step. Fixed instructions in model prediction
  statistics
• Updated CNN workflow to use the most recent version of the tools. Add…
  statistics
• Updated 2 workflows and tutorials to use the latest version of Galaxy-ML
  statistics
• Updated Deep Learning (DL) workflows to use the most recent DL tools version
• Added section to explain OHE and calculate the OHE of training labels.

Reviewed 9 PRs

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• Minor clarifications and consistency improvements for the ML RNN tutorial
  statistics
• A Docker-based interactive Jupyterlab powered by GPU for artificial intelligence in Galaxy
• Image classification on fruit 360 dataset
  statistics
  new tutorial
• Added slides (with new images). Fixed typos in tutorial.
• Added slides and minor revision to tutorial

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