1.bayesian-optimization / BayesianOptimization
A Python implementation of global optimization with gaussian processes.
+148 stars
from 8,580 · score 5.00
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2.automl / auto-sklearn
Automated Machine Learning with scikit-learn
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3.microsoft / nniArchived
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
+85 stars
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4.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
+50 stars
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5.modAL-python / modAL
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6.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
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7.GPflow / GPflowOpt
Bayesian Optimization using GPflow
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from 274 · score 1.10