Showing 6 of 6 projects
A Python library for distributed asynchronous hyperparameter optimization over complex search spaces.
An easy-to-use, scalable hyperparameter optimization framework for Keras models with define-by-run syntax and built-in search algorithms.
A simple wrapper that combines Keras and Hyperopt for convenient hyperparameter optimization in deep learning models.
Implementation of hyperparameter optimization methods for ML/DL models with sample code for regression and classification tasks.
A scikit-learn compatible hyperparameter optimization tool using evolutionary algorithms instead of grid search.
A Python library providing SigOpt hyperparameter optimization wrappers for scikit-learn and XGBoost models.
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