Hyperparameter Python Packages

zookeeper

A small library for managing deep learning models, hyperparameters and datasets

hpoflow

Tools for Optuna, MLflow and the integration of both.

elimination-search-cv

A scikit-learn compatible hyperparameter search that progressively eliminates low-scoring values — fewer fits, same best params.

autohparams

Automatically create a config of hyper-parameters from global variables

proximal-gradient

PyTorch implementation of Proximal Gradient Algorithms a la Parikh and Boyd (2014). Useful for Auto-Sizing (Murray and Chiang 2015, Murray et al. 2019).

xparameter

A portable configuration tool to manage hyperparameters and settings of your experiments.