Stochasma 0.1.0
Initial stable Gaussian DDPM core for the Wolfram Language.
Includes:
- linear and cosine beta schedules;
- canonical DDPM coefficients;
- closed-form forward diffusion;
- clean-sample reconstruction;
- posterior mean and variance;
- stochastic and explicit-noise reverse steps;
- epsilon-prediction training primitives;
- predictor-driven DDPM sampling;
- explicit RNG semantics for automatic, seeded, and explicit-noise modes;
- numerical validation of diffusion schedules;
- headless tests and a synthetic Gaussian example.