cjc-ad 0.1.0

Automatic differentiation: forward-mode dual numbers and reverse-mode tape
Documentation

Automatic differentiation for CJC.

Provides forward-mode differentiation via dual numbers and reverse-mode differentiation via a computation tape. Supports grad(), jacobian(), and gradient graph construction for ML training loops.