A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could ...

This is an open collection of methodologies, tools and step by step instructions to help with successful training and fine-tuning of large language models and multi-modal models and their inference.

This README file provides the description of the code and data used in my final year project. The content is sectioned into folders with corresponding names. Descriptions of the folders and their ...

Abstract: Machine learning is widely used to solve networking challenges, ranging from traffic classification and anomaly detection to network configuration. However, machine learning also requires ...

Oscar Gonzalez is a Texas native who covered video games, conspiracy theories, misinformation and cryptocurrency. Valve dipped its toe into the hardware business when it released the Steam Deck ...

Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...