bayesian-optimization topic
bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
pySOT
Surrogate Optimization Toolbox for Python
bayeso
Simple, but essential Bayesian optimization package
bayes-skopt
A fully Bayesian implementation of sequential model-based optimization
gpstuff
GPstuff - Gaussian process models for Bayesian analysis
nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc...
modAL
A modular active learning framework for Python