GitHub

A Python-based Decision-Focused Learning Toolbox

Weights & Biases is a helpful tool to analyze experiments, while Optuna is an effective tool for hyperparameter tuning. To use either of these tools, make sure to check out the notebooks in the ...
IEEE

Python-Based Cross-Platform Impedance Benchmarking Tool (CroZBenMa) for IBR’s EMT Models in Matlab/Simulink and PSCAD/EMTDC

Abstract: This paper presents a Python-driven graphical user interface (GUI) explicitly crafted for benchmarking the electromagnetic transient (EMT) models of inverter-based resources (IBRs) across ...
IEEE

Bayesian Neural Networks via MCMC: A Python-Based Tutorial

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
GitHub

RPEval: Role-Playing Evaluation for Large Language Models

This repository contains code and data referenced in: "Role-Playing Evaluation for Large Language Models". Large Language Models (LLMs) demonstrate a notable capacity for adopting personas and ...
Frontiers

Generation of rule-based matrices with the matRiks package: a tutorial

Many authors have long been engaged in the automatic generation of test items or stimuli, recognizing their potential for improving test efficiency, scalability, and psychometric quality. Pioneering ...