Hyperopt Python Packages

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

asreview-hyperopt

Hyper parameter optimization extension for ASReview. EXPERIMENTAL

mltb

Machine Learning Tool Box

auto-surprise

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:

databricks-kakapo

Kakapo (KAH-kə-poh) implements a standard set of APIs for outlier detection at scale on Databricks. It provides an integration of the vast PyOD library of outlier detection algorithms with MLFlow for tracking and packaging of models and hyperopt for exploring vast, complex and heterogeneous search spaces.

skperopt

A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.

lazycluster

Distributed machine learning made simple.

cvopt

Parameter search and feature selection's class, Integrated visualization and archive log.

ultraopt

Distributed Asynchronous Hyperparameter Optimization Better than HyperOpt

hellohyperas

custom notebook filepath enabled, hyperas 0.4.1