Raster
Interactive guides + browser demos, rendered from source.
Notebooks
- Getting Started — deftm, typed dispatch, value types
- Automatic Differentiation — forward-mode, reverse-mode, value+grad
- ODE Solvers — Lorenz attractor, adaptive solvers, events
- Linear Algebra — Vec/Mat types, LU, Cholesky, SVD
- Optimization — L-BFGS, Nelder-Mead, Newton
- Deep Learning — MLP training with compiled AD
- Agent-Based Modeling — endogenous firm formation
- Geometric Algebra + ODE — rotors, precession
Browser demos (WebGPU — Chrome / Edge)
One .cljc codebase: numerical kernels compiled to WebAssembly, rendered with WebGPU.
- Geometric Asteroids — typed dispatch + physics compiled to wasm
- Valley — streaming voxel world (terrain, lighting, water, mobs)