Hyperoptax is still a WIP and the API is subject to change. There are many rough edges to smooth out. It is recommended to download specific versions or to download from source if you want to use it ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...

Hyperparameter tuning is critical to the success of cross-device federated learning applications. Unfortunately, federated networks face issues of scale, heterogeneity, and privacy; addressing these ...

Functions are the building blocks of Python programs. They let you write reusable code, reduce duplication, and make projects easier to maintain. In this guide, we’ll walk through all the ways you can ...

A modular and production-ready toolkit for evaluating machine learning models using accuracy, precision, recall, F1-score, and cross-validation. Includes advanced hyperparameter tuning (GridSearchCV, ...

Abstract: This paper investigates the impact of reward functions, action space configurations, and hyperparameter tuning on AWS DeepRacer models for autonomous driving. Our experiments compare ...