cs230-stanford/cs230-code-examples resource

Health v2 · maintenance only

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4228 stars · 1006 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A collection of PyTorch and TensorFlow code examples created for Stanford's CS230 deep learning course, covering computer vision and NLP tasks. It serves as starter templates and tutorials for students building deep learning projects.

Use cases

• learn pytorch with example code
• tensorflow starter template for a deep learning project
• example code for a computer vision project
• nlp project starter code
• course project boilerplate for deep learning
• compare pytorch and tensorflow implementations

When to choose

• you are a student starting a CS230-style deep learning project
• you want simple, well-structured PyTorch or TensorFlow templates for vision or NLP
• you are learning deep learning and want reference implementations

When to avoid

• you need production-grade, actively maintained ML code
• you need models or tasks beyond the included vision and NLP examples
• you require a permissive license for redistribution

Facets

learning-resource · maturity maintenance

machine-learning deep-learning nlp computer-vision deep-learning computer-vision tutorials python stanford cs230 pytorch tensorflow educational starter-code natural-language-processing

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