GitHub

Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference - thereby addressing the trust gap between such ML systems ...

In this simple example, we will attempt to generate explanations for some ML model trained on 20newsgroups, a text classification dataset. In particular, we want to find out which words were important ...
GitHub

A Laravel package that implements the Model Context Protocol (MCP) server specification, enabling AI models to interact with your Laravel application through a standardized ...

Note: You only need to publish if you want to customize the MCPController. The middleware classes are used directly from the package namespace.
IEEE

Assessing the Impact of Contextual Information in Hate Speech Detection

Abstract: Social networks and other digital media deal with huge amounts of user-generated contents where hate speech has become a problematic more and more relevant. A great effort has been made to ...
IEEE

CTE-Net: Contextual Texture Enhancement Network for Image Super-Resolution

Abstract: The object of image super-resolution reconstruction is to overcome the limitations imposed by hardware imaging conditions and patterns, aiming to restore high-frequency details in images ...