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micrograd
A tiny scalar-valued autograd engine with a PyTorch-like API.
Day 43 since launch · Launched 25 August 2026
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What is micrograd?
micrograd is Andrej Karpathy's tiny autograd engine and neural net library — a few hundred lines that implement backpropagation over scalar values with a PyTorch-like API, built for teaching how neural networks really work.
Pros
- The clearest way to learn backpropagation
- Tiny, fully readable codebase
- Pairs with a famous video lecture
Cons
- Teaching tool, not for real training
- Scalar-valued only — intentionally minimal
Who should use micrograd
Anyone who wants to understand neural nets from first principles.
Who may not need it
Teams looking for a production training framework.
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