GitHub

uqlm: Uncertainty Quantification for Language Models

UQLM provides a suite of response-level scorers for quantifying the uncertainty of Large Language Model (LLM) outputs. Each scorer returns a confidence score between 0 and 1, where higher scores ...
GitHub

Python Module for WAGO 750-xxx series PLCs

This third party Python module provides an abstraction layer for interacting with WAGO 750 series PLCs through Modbus TCP communication. It offers an object-oriented interface to control and monitor ...
IEEE

Dual-Stream Global Relationship Learning for Oriented Object Detection in Remote Sensing Images

Abstract: Oriented object detection has attained remarkable progress in addressing the challenges associated with rotating invariant feature extraction. However, most existing object detection most ...
IEEE

Object Detection using OpenCV and Deep Learning

Abstract: The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural ...