Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Abstract: Variations of Hyperparameter in Machine Learning (ML) algorithm effectively strikes the model's performance in terms of accuracy, loss, F1 score and many others. In the current study a ...

Hyperparameter tuning is crucial for optimising machine learning algorithms' performance. The Keras Tuner package aids in selecting the optimal hyperparameters for applications. Hyperband is a ...

Hyperparameter optimization is essential for improving machine learning model performance. The search space for hyperparameters increases significantly with deep learning models. HpBandSter is a ...

Abstract: Algorithm selection and hyperparameter tuning are omnipresent problems for researchers and practitioners. Hence, it is not surprising that the efforts in automatizing this process using ...