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claesenm/optunity

0
View on GitHub↗
425 stars·76 forks·Jupyter Notebook·8 viewswww.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.

Star history

Star history chart for claesenm/optunityStar history chart for claesenm/optunity

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Optunity

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Frequently asked questions

What does claesenm/optunity do?

optimization routines for hyperparameter tuning

What are the main features of claesenm/optunity?

The main features of claesenm/optunity are: Automated Machine Learning, Optimization.

What are some open-source alternatives to claesenm/optunity?

Open-source alternatives to claesenm/optunity include: 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…