1.bayesian-optimization / BayesianOptimization
A Python implementation of global optimization with gaussian processes.
+19 stars
from 8,709 · score 3.00
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2.automl / auto-sklearn
Automated Machine Learning with scikit-learn
+16 stars
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3.automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
+14 stars
from 1,253 · score 2.71
4.modAL-python / modAL
A modular active learning framework for Python
+8 stars
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5.microsoft / nniArchived
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
+5 stars
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6.sustainable-processes / summit
Optimising chemical reactions using machine learning
+4 stars
from 151 · score 1.61
7.c-bata / goptuna
A hyperparameter optimization framework, inspired by Optuna.
+2 stars
from 280 · score 1.10
8.scikit-optimize / scikit-optimizeArchived
Sequential model-based optimization with a `scipy.optimize` interface
+1 stars
from 2,828 · score 0.69