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claesenm/optunity

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View on GitHub↗
425 stars·76 forks·Jupyter Notebook·3 vueswww.optunity.net↗

Optunity

optimization routines for hyperparameter tuning

Features

  • Automated Machine Learning - Library for hyperparameter optimization and model tuning.
  • Optimization - Library for hyperparameter tuning and optimization.

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Voir les 30 alternatives à Optunity→

Questions fréquentes

Que fait claesenm/optunity ?

optimization routines for hyperparameter tuning

Quelles sont les fonctionnalités principales de claesenm/optunity ?

Les fonctionnalités principales de claesenm/optunity sont : Automated Machine Learning, Optimization.

Quelles sont les alternatives open-source à claesenm/optunity ?

Les alternatives open-source à claesenm/optunity incluent : hyperopt/hyperopt-sklearn — Hyper-parameter optimization for sklearn. hips/spearmint — Spearmint Bayesian optimization codebase. automl/smac3 — SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization. hyperopt/hyperopt — Hyperopt is a Python library for hyperparameter optimization designed to minimize scalar-valued objective functions.… fmfn/bayesianoptimization — This is a Python scientific computing library for finding the global maximum of expensive black-box functions. It… optuna/optuna — Optuna is a Python-based hyperparameter optimization framework designed to automate the search for optimal machine…