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An automated machine learning toolkit that serves as a drop-in replacement for scikit-learn estimators.
An open-source machine learning platform for distributed training, hyperparameter tuning, experiment tracking, and resource management.
A versatile Bayesian optimization package for hyperparameter optimization of machine learning algorithms.
A tutorial and demo using Hyperopt to auto-optimize CNN architecture and hyperparameters for the CIFAR-100 dataset with Keras/TensorFlow.
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