GitHub

model-context-protocol

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for ...
IEEE

Ordinal Logistic Regression Model for Predicting Employee Satisfaction from Organizational Climate

Abstract: The article introduces ordinal logistic regression as an alternative method for modelling the relationship between predictor variables and job satisfaction. It emphasizes the importance of ...
IEEE

Research on the Enhancement and Improvement of Logistic Regression Models

Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
GitHub

D-FINE: Redefine Regression Task of DETRs as Fine‑grained Distribution Refinement

If you like D-FINE, please give us a ⭐! Your support motivates us to keep improving! D-FINE is a powerful real-time object detector that redefines the bounding box regression task in DETRs as ...
Indiatimes

Oracle founder Larry Ellison explains two types of AI models, uses Elon Musk’s Tesla as example of ‘low-latency’ intelligence

Oracle founder Larry Ellison distinguished between two AI model types: those requiring real-time, low-latency decisions for applications like self-driving cars and robotics, and those where delays are ...