Repository: philipphennig/Probabilistic_ML Branch: main Commit: b2308e2d0433 Files: 2 Total size: 604 B Directory structure: gitextract_ogmgo31o/ ├── .gitattributes └── README.md ================================================ FILE CONTENTS ================================================ ================================================ FILE: .gitattributes ================================================ *.pdf filter=lfs diff=lfs merge=lfs -text ================================================ FILE: README.md ================================================ # Probabilistic Machine Learning This git repo contains the slides for the "Probabilistic Machine Learning" Course at the University of Tübingen, Summer Term 2023. <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-nc-sa/4.0/88x31.png" /></a><br />All slides are licensed under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-sa/4.0/">Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License</a>.
gitextract_ogmgo31o/ ├── .gitattributes └── README.md
Condensed preview — 2 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (1K chars).
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About this extraction
This page contains the full source code of the philipphennig/Probabilistic_ML GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 2 files (604 B), approximately 247 tokens. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
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