JAX-accelerated time-series forecasting library. Fast, scalable, and NumPy-compatible.
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Updated
Oct 6, 2026 - Python
JAX-accelerated time-series forecasting library. Fast, scalable, and NumPy-compatible.
Introduces macro/meta annotations @ aux, @ self, @ instance, @ apply, @ delegated, @ syntax and String-based type class LabelledGeneric
soliscript quick starter - run (blockchain) contracts in rubidity (with 100%-solidity compatible data types & abis) on an ethereum simulacrum in your own home for fun & profit (for free)
soliscript - run blockchain contracts in rubidity (with 100%-solidity compatible data types & abis) on an ethereum simulacrum in your own home for fun & profit (for free)
ML pipeline predicting late-stage (Stage III/IV) cancer diagnosis on 1.17M+ Simulacrum v2.0 records. Logistic Regression, Random Forest, Gradient Boosting compared with SMOTE and class weight balancing. 88.6% recall, AUC 0.68, with SHAP interpretability. Personal exploratory analysis from NHSE work experience, not quality assured.
Presentation slides: Algebraic Data Types and Typeclas
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