RF-DETR is a real-time transformer architecture for object detection, instance segmentation, and keypoint detection (preview) developed by Roboflow. Built on a DINOv2 vision transformer backbone, ...

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 ...

Abstract: Federated Learning (FL) is a decentralized machine learning (ML) approach where multiple clients collaboratively train a shared model over several update rounds without exchanging local data ...

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 ...