2 dépôts
Platforms for publishing and discovering community-developed optimization packages and algorithms.
Distinct from Shared Tool Registries: Distinct from Shared Tool Registries: focuses on optimization-specific algorithms and search spaces rather than general AI agent tools.
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Optuna is a Python-based hyperparameter optimization framework designed to automate the search for optimal machine learning model configurations. It functions as a Bayesian optimization library that systematically tests parameter combinations to maximize or minimize objective functions, streamlining the model development process through iterative evaluation. The project distinguishes itself through a define-by-run dynamic construction model, which allows users to build complex, conditional search spaces using standard programming logic. Its architecture is highly modular, featuring a pluggabl
Enables sharing custom optimization packages with the broader community.
Provides a registry of prebuilt tools conforming to a shared schema interface for agent composition.