JAX-BO: Bayesian Optimization Library Maintenance

Problem

Research libraries often break as Python and core ML dependencies evolve.

Solution

Modernized a Bayesian Optimization library for current Python/JAX versions, improved documentation, tested demos, added logging/error handling, and expanded optimizer functionality.

Deliverables

• Python/JAX compatibility updates
• PyPI install path
• Documentation improvements
• Error handling/logging
• Optimizer refactoring
• Tested demos/examples

Why it matters

• Keeps the library usable as Python and JAX versions advance — no forking required
• Improved docs and tested examples reduce onboarding time for new contributors