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Configuration injection for Python functions and classes, useful for making experiment parameter binding explicit.

Genetic programming for symbolic regression and related transformations.

A Python interface to hierarchical HDF5 datasets and attributes.

Neural-network transformations for JAX, supporting studies of parameter initialization and functional apply behavior.

Hierarchical density-based clustering with support for variable-density structure and noise labels.

Python interfaces for HEALPix spherical pixelization and map analysis.

Forecast reconciliation and evaluation for hierarchical and grouped time series.

Solvers for linear, mixed-integer, and quadratic optimization problems.

Hidden Markov model estimation and inference with common emission distributions.

Code-generation evaluation repository for examining functional correctness and pass-at-k estimation on programming tasks.

Configuration composition tooling for making experimental variants and overrides inspectable.

Resampling methods and pipeline tools for learning from imbalanced classes.