SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
-
Updated
Oct 29, 2024 - Python
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
A scikit-learn compatible implementation of hyperband
Iterated Racing for Automatic Algorithm Configuration
A benchmark library for Dynamic Algorithm Configuration.
Algorithm Configuration Visualizations for irace!
Mosaic: MCTS-based Pipeline Optimization
Sparkle is a Programming by Optimisation (PbO)-based problem-solving platform designed to enable the widespread and effective use of PbO techniques for improving the state-of-the-art in solving a broad range of prominent AI problems, including SAT and AI Planning.
AutoML via model selection with MCTS and model configuration with optimizer ensembles.
An example of how to use irace with Julia on a Windows computer
Add a description, image, and links to the algorithm-configuration topic page so that developers can more easily learn about it.
To associate your repository with the algorithm-configuration topic, visit your repo's landing page and select "manage topics."