Raster Notebooks
Interactive guides rendered from source.
- 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