Abstract: Traditionally, power system utilities have relied on centralized or local Volt-Var approaches for voltage regulation in distribution grids. However, with recent increase in integration of ...

This repository contains the complete implementation of a master's thesis comparing six deep learning architectures for multi-asset, multi-horizon cryptocurrency price forecasting. The study evaluates ...

Ray Tune helps developers scale machine learning experiments, optimize model settings, and manage distributed training workflows efficiently. Download Ray Tune to run scalable experiment management ...

Usama has a passion for video games and a talent for capturing their magic in writing. He brings games to life with his words, and he's been fascinated by games for as long as he's had a joystick in ...

Abstract: Hyperparameter tuning is a crucial process in the machine learning (ML) pipeline, as the performance of a learning algorithm is highly influenced by its hyperparameter configuration. This ...