Research-Stack/3-Mathematical-Models/genetics/parametric-learn
allaun 62ca4e3576 fix(deps): audit-driven updates across npm, pnpm, cargo, pip
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  esbuild 0.27.7→0.27.2, vite 6.4.2→6.4.3
- parametric-learn: vite 8.0.10→8.0.16, form-data 4.0.5→4.0.6
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Python:
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2026-06-20 19:00:38 -05:00
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src initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
.gitignore initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
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pnpm-lock.yaml fix(deps): audit-driven updates across npm, pnpm, cargo, pip 2026-06-20 19:00:38 -05:00
README.md initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00

parametric-learn

A small neural network learns to fit a parametric surface (u, v) → (x, y, z) in real time. The gray wireframe is the target; the purple mesh is the network's current prediction.

Training runs in a Web Worker (TensorFlow.js); rendering is Three.js.

parametric-learn.webm

Run

pnpm install
pnpm dev

Pick a surface from the dropdown, hit Start, and watch it converge.