Show HN: WhyTorch – visual explainer for PyTorch Functions (whytorch.org)

WhyTorch is a new visual explainer site (by Adam Allevato, 2025) that teaches how PyTorch functions behave by combining interactive diagrams and short, focused explanations. It currently covers a curated subset of PyTorch operations — the ones the author judged most in need of clarification — with more functions planned. The project is open source (GitHub), so contributors can add more visualizations and examples. A neat integration trick: you can jump from the official PyTorch docs to WhyTorch by changing docs.pytorch.org/... to docs.whytorch.org/..., which redirects to the corresponding WhyTorch explanation for that function. For the AI/ML community this is a practical learning and onboarding tool: visual, example-driven explanations help demystify tensor transformations, broadcasting, shape/dtype behavior and other subtleties that often cause bugs or slow down model development. Because it complements — rather than replaces — the official docs, WhyTorch is useful for students, engineers, and educators who need faster intuition about API behavior. The project's open-source nature and direct link shortcut into docs mean it can rapidly expand coverage and be adopted as a teaching/reference companion that reduces cognitive friction when working with PyTorch.