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Ensembled Deep Network for Global Optimization
Automated Machine Learning with scikit-learn
A highly efficient implementation of Gaussian Processes in PyTorch
Fast and Easy Infinite Neural Networks in Python
A modular active learning framework for Python
Gaussian processes in TensorFlow
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
a distributed Hyperband implementation on Steroids
Combining tree-boosting with Gaussian process and mixed effects models
Gaussian processes in JAX.
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.