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

bethington/cheat-engine-server-python

This server operates in READ-ONLY mode for safety. It can read and analyze memory but cannot modify it. All operations are logged for security auditing.
IEEE

Generalized Model Predictive Torque Control of Synchronous Machines

Abstract: This study presents a generalized model predictive torque control (GMPTC) method that applies to all types of synchronous machines (SMs). The GMPTC method ...
IEEE

ALIME: Local Interpretable Explanations based on Generalized Additive Models

Abstract: Local Interpretable Model-agnostic Explanations (LIME) is an interpretable method used to explain the predictions of machine learning models. It generates perturbed samples around an ...