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A Rust implementation of a conic interior-point solver for convex optimization.

Numerical tools and solvers for convex optimization with Python interfaces.

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

Evolutionary algorithm components for population-based optimization experiments.

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

A reference for population-based stochastic optimization with bounds, constraints, initialization, updating and random-state controls.

A guide to constructing optimization expressions with known signs and curvature under disciplined convex programming rules.

A guide to parameterized convex programs, repeated canonicalization and differentiating solution maps.

A numerical solver for convex conic optimization problems.

Attention-kernel implementations for comparing memory-efficient computation with a directly specified attention reference.

Neural-network tooling built around JAX for investigating explicit state, transformations and model composition.

Genetic programming for symbolic regression and related transformations.