GitHub topics: algorithm-configuration
MLopez-Ibanez/irace
Iterated Racing for Automatic Algorithm Configuration
Language: R - Size: 27.2 MB - Last synced at: 16 minutes ago - Pushed at: about 2 hours ago - Stars: 66 - Forks: 17
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 154 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1,201 - Forks: 239
ADA-research/Sparkle
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.
Language: Python - Size: 881 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 6 - Forks: 2
automl/DACBench
A benchmark library for Dynamic Algorithm Configuration.
Language: PDDL - Size: 244 MB - Last synced at: 9 days ago - Pushed at: 3 months ago - Stars: 32 - Forks: 14
DimitriWeiss/up-ac
Integration of algorithm configuration in the Unified Planning Framework
Language: Python - Size: 3.12 MB - Last synced at: 9 days ago - Pushed at: 8 months ago - Stars: 0 - Forks: 3
taindp98/OneMax-MPDAC
Multi-parameter Control for the Genetic Algorithm on OneMax
Language: Python - Size: 807 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
sbomsdorf/An-example-of-irace-using-Julia-code
An example of how to use irace with Julia on a Windows computer
Language: R - Size: 50.8 KB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
thuijskens/scikit-hyperband
A scikit-learn compatible implementation of hyperband
Language: Python - Size: 5.42 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 70 - Forks: 16
souzamarcelo/acviz
Algorithm Configuration Visualizations for irace!
Language: Python - Size: 2.58 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 9 - Forks: 1
herilalaina/mosaic
Mosaic: MCTS-based Pipeline Optimization
Language: Python - Size: 496 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 5
Berberer/frankensteins-automl
AutoML via model selection with MCTS and model configuration with optimizer ensembles.
Language: Python - Size: 437 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
