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
from 14,281 · score 4.45
4.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
+50 stars
from 1,217 · score 3.93
5.modAL-python / modAL
A modular active learning framework for Python
+35 stars
from 2,341 · score 3.58
6.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
+16 stars
from 2,813 · score 2.83
7.sustainable-processes / summit
Optimising chemical reactions using machine learning
+12 stars
from 143 · score 2.56
8.c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
+7 stars
from 275 · score 2.08
9.GPflow / GPflowOpt
Bayesian Optimization using GPflow
+2 stars
from 274 · score 1.10