A unified interface for optimization algorithms and experiments

automated-machine-learning bayesian-optimization data-science deep-learning feature-engineering hyperactive hyperparameter-optimization keras machine-learning model-selection neural-architecture-search optimization parallel-computing parameter-tuning python pytorch scikit-learn xgboost
3 Open Issues Need Help Last updated: Mar 13, 2026

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enhancement good first issue

A unified interface for optimization algorithms and experiments

Python
#automated-machine-learning#bayesian-optimization#data-science#deep-learning#feature-engineering#hyperactive#hyperparameter-optimization#keras#machine-learning#model-selection#neural-architecture-search#optimization#parallel-computing#parameter-tuning#python#pytorch#scikit-learn#xgboost
enhancement good first issue

A unified interface for optimization algorithms and experiments

Python
#automated-machine-learning#bayesian-optimization#data-science#deep-learning#feature-engineering#hyperactive#hyperparameter-optimization#keras#machine-learning#model-selection#neural-architecture-search#optimization#parallel-computing#parameter-tuning#python#pytorch#scikit-learn#xgboost
good first issue

A unified interface for optimization algorithms and experiments

Python
#automated-machine-learning#bayesian-optimization#data-science#deep-learning#feature-engineering#hyperactive#hyperparameter-optimization#keras#machine-learning#model-selection#neural-architecture-search#optimization#parallel-computing#parameter-tuning#python#pytorch#scikit-learn#xgboost