apoorvnandan/tensor.h resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1468 stars · 129 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A tiny tensor library written in raw C, built as a step-by-step educational project explaining neural networks, autograd, and training from absolute scratch with no dependencies like PyTorch or NumPy. The repository doubles as a readable tutorial for programmers with no machine learning background.

Use cases

• learn how neural networks work from scratch
• understand autograd and backpropagation internals
• build a minimal tensor library in C
• train small neural networks without pytorch or numpy
• teach machine learning fundamentals to programmers
• study matrix operations and loss functions in plain C

When to choose

• you want to deeply understand neural networks and autograd internals
• you prefer learning through minimal, dependency-free C code
• you need a readable educational resource rather than a production framework

When to avoid

• you need a production-ready, performant tensor library
• you require GPU acceleration or a mature ecosystem
• you need a licensed, stable library for real projects since it has no license and is experimental

Facets

learning-resource · maturity experimental

machine-learning deep-learning math deep-learning machine-learning education tutorials c cross-platform cli tensor-library autograd neural-networks from-scratch educational no-dependencies

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markdown · JSON · MCP: product_card(name="apoorvnandan/tensor.h")