2.0.6 - Stateless Adapters, Augmentations, Bugfixes, and Better Diffusion Models

• Various score-based diffusion models are now directly available in the networks module.
• ECDF Calibration plots support arbitrary test statistics for more expressive diagnostics
• Adapters are now completely stateless, leading to less hassle for standardization
• A new module augmentations will collect non-serializable transforms applied during training. NNPE for robust training (Ward et al., 2022) has been added, and many more are coming!
• Small bugfixes with internal passing of arguments have been applied
• Two new tutorial notebooks are available on likelihood learning and multimodal inference