srush/Tensor-Puzzles resource

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

4299 stars · 395 forks observed · 2026-08-28

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

A collection of 21 PyTorch/Numpy tensor puzzles designed to teach tensor programming and broadcasting from first principles. Learners reimplement standard library functions in one line using only basic operations like arithmetic, indexing, and broadcasting.

Use cases

• learn pytorch tensor broadcasting
• practice numpy-style tensor manipulation
• improve tensor programming skills
• teach machine learning students tensor fundamentals
• prepare for deep learning coding interviews
• master indexing and broadcasting rules without library shortcuts

When to choose

• you want hands-on practice with PyTorch or NumPy tensor operations
• you are learning broadcasting and want exercises
• you are an educator looking for teaching material for tensor programming

When to avoid

• you need production machine learning code or a library
• you want a comprehensive PyTorch tutorial covering models and training
• you are a complete beginner to Python programming

Facets

learning-resource · maturity stable

machine-learning developer-tools testing machine-learning education tutorials python pytorch numpy broadcasting puzzles jupyter-notebook colab tensor-programming web-server

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For agents

markdown · JSON · MCP: product_card(name="srush/Tensor-Puzzles")