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Serialization support for Python constructs used in distributed and interactive computation.

Pairwise and marginal visualization of multidimensional samples.

Numerical tools and solvers for convex optimization with Python interfaces.

A modeling language for convex optimization problems with numerical solver interfaces.

Task graphs and parallel collections for array, table, and general Python computation.

Versioned research-data management and provenance workflows built on Git and git-annex.

Dataset loading and transformation tools useful for preserving example identity, split boundaries and preprocessing provenance in AI experiments.

Evolutionary algorithm components for population-based optimization experiments.

Deep-learning optimization system for investigating distributed training memory, communication and state partitioning.

Phylogenetic tree manipulation, simulation, and analysis in Python.

Serialization of Python objects and interpreter state for research workflows.

Programming and optimization interfaces for composing language-model workflows and measuring objective-driven changes.