#	Diagram
1	ML Training Pipeline
2	How Embeddings Work in Machine Learning
3	RAG: Retrieval Augmented Generation
4	Transformer: Attention Overview
5	LLM Fine-tuning Pipeline
6	Neural Network Overview
7	ML Data Split: Train, Validation, Test

My Diagrams

A collection of technical diagrams (Mermaid) for reference and documentation—ML pipelines, system design, workflows, and more.

Live site: The GitHub Pages site is built from the frontend React app and deploys automatically when changes are merged to main. You can browse, search, view rendered Mermaid diagrams, and download diagram source from there. In your repo Settings → Pages, set Source to GitHub Actions so the workflow can deploy.

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Contributing

Adding a diagram

1. Create a markdown file (e.g. topic-name.md) in this repo.
2. Use Mermaid inside a fencede code block:

   ```mermaid
   flowchart TD
       A --> B
   ```

   flowchart TD
       A --> B
   

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3. Add a short description and notes below the diagram if helpful.
4. Add a row to the Diagrams table above: | N | Title | [filename.md](filename.md) |.

Style

• One diagram (or one closely related set) per file.
• Keep descriptions concise.
• Use clear, consistent node labels in Mermaid.

Pull requests

• Open a PR with your new or updated diagram file and a README table entry.
• Describe what the diagram shows in the PR description.

Recognizing contributors

We use All Contributors to recognize everyone who helps. To add or update a contributor, use the @all-contributors bot in an issue or PR—e.g. @all-contributors please add @username for docs.

Contributors

Stella Ray 📖

ITstar 📖