https://github.com/radlab-dev-group/varia

This repository contains various materials created during learning and experimentation: tutorials, presentations, sample applications, and results of related tests and analyses.
https://github.com/radlab-dev-group/varia

classifier data-augmentation llm tutorial

Last synced: 5 days ago
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This repository contains various materials created during learning and experimentation: tutorials, presentations, sample applications, and results of related tests and analyses.

• Host: GitHub
• URL: https://github.com/radlab-dev-group/varia
• Owner: radlab-dev-group
• License: mit
• Created: 2026-06-21T08:47:29.000Z (29 days ago)
• Default Branch: main
• Last Pushed: 2026-06-21T09:10:07.000Z (29 days ago)
• Last Synced: 2026-06-21T11:09:53.753Z (29 days ago)
• Topics: classifier, data-augmentation, llm, tutorial
• Homepage: https://dss2026.radlab.dev
• Size: 6.5 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# varia

This repository contains various materials created during learning and experimentation:

tutorials, presentations, sample applications, and results of related tests and analyses.

## Dss tutorial (2026.06.18)

The  [conf/DSS_20260618](conf/DSS_20260618/README.md)  directory contains the complete set of materials

from the DSS 2026 Tutorials course: the tutorial guide, the theoretical portion, source code, datasets,

experimental results, and live‑session annotations—everything needed to reproduce the work on your own machine