SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
-
Updated
Nov 12, 2026 - Python
GeezerVisonThe World Wide Web, restored to 800 pixels of glory. |
| Home|About|Gaming cabinet|Archives|How it works|Starter sites |
GeezerVison is showing github.com — Build software better, together
#
algorithm-configurationHere are 14 public repositories matching this topic...Language: All
Filter by language
Sort: Most stars
Sort options
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
random-forest configuration hyperparameter-optimization bayesian-optimization hyperparameter-tuning automl automated-machine-learning hyperparameter-search bayesian-optimisation gaussian-process algorithm-configuration
Iterated Racing for Automatic Algorithm Configuration
A scikit-learn compatible implementation of hyperband
machine-learning scikit-learn hyperparameter-optimization hyperparameter-tuning hyperband algorithm-configuration
A benchmark library for Dynamic Algorithm Configuration.
benchmark reinforcement-learning black-box-optimization automl algorithm-configuration reinforcement-learning-environments
Algorithm Configuration Visualizations for irace!
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.
crace: Continuous Racing for Automatic Algorithm Configuration
python-library python3 hyperparameter-optimization hyperparameter-tuning automl irace algorithm-configuration crace continuous-racing
Mosaic: MCTS-based Pipeline Optimization
Multi-parameter Control for the Genetic Algorithm on OneMax
Log-driven LLM tuning of SCIP for mixed-integer optimization, with solver-log analysis, scalar-feedback baselines, and a reproducible 215-instance benchmark.
python reproducible-research optimization operations-research scip cvrp branch-and-bound mixed-integer-programming miplib facility-location generalized-assignment-problem algorithm-configuration job-shop-scheduling large-language-models llm prompt-engineering solver-configuration dantzig-wolfe solver-logs solver-tuning
AdaEva: Accelerating LLM-Driven Algorithm Design with Adaptive Partial Evaluation
AutoML via model selection with MCTS and model configuration with optimizer ensembles.
Integration of algorithm configuration in the Unified Planning Framework
algorithm configuration selector planning unified oat ac smac parameter-tuning irace algorithm-configuration gga unified-planning
Ensemble-based Automated Algorithm Configuration
algorithm offline configuration selector ensemble ac smac parameter-tuning algorithm-configuration gga cppl
Add this topic to your repoTo associate your repository with the algorithm-configuration topic, visit your repo's landing page and select "manage topics." |
| You are visitor 01402503 — GeezerVison does not store the pages you look up. Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required. |