Hyper Parameter Optimization Python Packages

otx

Build computer vision models in a fraction of the time and with less data.

sklearn-nature-inspired-algorithms

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

getitune

Build computer vision models in a fraction of the time and with less data.

openbox

Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)

awesome-autodl

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

tracta-ml

Combined hyper-parameter optimization and feature selection for machine learning models using micro genetic algorithms

pipoh

Pipoh is a library that implements several diversification techniques base on mean-variance framework. In addition, it includes a novel purely data-driven methods for determining the optimal value of the hyper-parameters associated with each investment strategy.