GitHub

A real-time demonstration of learning Adaptable World Models with Latent Actions using the Agno framework.

The development of this repository was inspired by the paper "AdaWorld: Learning Adaptable World Models with Latent Actions". To read the entire paper, visit https ...
IEEE

Bitcoin Price Movement Prediction using Hybrid Model Empirical Mode Decomposition-Skewed GARCH

Abstract: Traditional models struggle to capture the non-stationary behavior, extreme volatility, and asymmetric risk of Bitcoin. We propose a hybrid EMD-Skewed GARCH framework utilizing Empirical ...
IEEE

Model-Agnostic Empirical Evaluation of Test-Driven Prompt Engineering on Improving Accuracy and Efficiency in Large Language Models Python Code Generation

Abstract: Although Large Language Models (LLMs) are widely adopted for Python code generation, the generated code can be semantically incorrect, requiring iterations of evaluation and refinement. Test ...
GitHub

Stroke capacity planning model: python DES RAP

This repository is an example accompanying the DES RAP Book — an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for ...