https://github.com/justanotherbyte/interactive-cs229
Interactive notebooks implementing CS229 theory & models from the ground up.
https://github.com/justanotherbyte/interactive-cs229
Last synced: 9 months ago
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Interactive notebooks implementing CS229 theory & models from the ground up.
- Host: GitHub
- URL: https://github.com/justanotherbyte/interactive-cs229
- Owner: justanotherbyte
- Created: 2025-09-19T22:22:53.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-09-23T13:19:31.000Z (9 months ago)
- Last Synced: 2025-09-23T15:28:20.787Z (9 months ago)
- Language: Python
- Size: 226 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Interactive CS229
Interactive CS229 is a set of Marimo Notebooks that let you explore implementations of the theory & models covered in Stanford's flagship CS229 course. All implementations are written using just NumPy.
> [!WARNING]
> This repo is in heavy development.
> I am to also provide derivations and insights that I deem important that don't exist in the official lecture notes.
To run a model locally, simply call:
```bash
uv run marimo run notebooks/.py
```
This will open it locally in your browser.
## Models
### Supervised Learning
| Model | Task | Notebook |
|-----------------------------|----------------------------|---------------------------------------------------------------------------------------------------------------|
| Linear Regression | Regression | [Open in Google Colab](https://colab.research.google.com/drive/1wY8SJHIF5Fctl9cdFzvVnXRgu_aDbDtf?usp=sharing) |
| Logistic Regression | Binary Classification | [Open in Google Colab](https://colab.research.google.com/drive/1bg2tiVSsmC9CFJGDZ9U98Eteq-qY_HhB?usp=sharing) |
| Locally Weighted Regression | Regression | [Open in Google Colab](https://colab.research.google.com/drive/18kA6eUVnjfGQxv7im5oCQ3AvLwZcAJH2?usp=sharing) |
| Softmax Regression | Multi-class Classification | [Open in Google Colab](https://colab.research.google.com/drive/1PY_4Zr3HiQYFJT3qNj3n8rYlOaXCAG17?usp=sharing) |