Example Notebooks

The notebooks below are rendered directly from the examples/ folder in the repository. Each one can be run interactively on Binder (no local installation required) or downloaded and run locally.

#	Notebook	Topics covered
01	BaseAttentive: Quick Start Guide	Model creation, configuration inspection, save/load
02	BaseAttentive: Hybrid vs Transformer Architectures	Hybrid vs. Transformer objective comparison
03	BaseAttentive: Attention Stack Configuration	Attention levels, cross / hierarchical / memory-augmented
04	BaseAttentive Standalone Applications	Domain application patterns, multi-output forecasting
05	BaseAttentive as a Kernel for Robust Neural Networks	Kernel-robust training, DTW alignment, regularisation
06	CRPSLoss & Probabilistic Forecasting	CRPSLoss — quantile / gaussian / mixture modes, MC sampling
07	V2 Spec & Registry: Declarative Configuration	V2 Spec & Registry — BaseAttentiveSpec, ComponentRegistry, custom encoders

Run on Binder

Launch any notebook interactively (no local install needed):