In this tutorial, we build an advanced agentic AI system that autonomously handles time series forecasting using the Darts library combined with a lightweight HuggingFace model for reasoning. We ...

Pull requests help you collaborate on code with other people. As pull requests are created, they’ll appear here in a searchable and filterable list. To get started, you should create a pull request.

Time Forecaster A lightweight Python library for time series forecasting using state-of-the-art language models. This library provides a simple interface to load, preprocess, predict, and evaluate ...

Researchers found children with highly addictive use of phones, video games or social media were two to three times as likely to have thoughts of suicide or to harm themselves. By Ellen Barry As ...

Abstract: The increasing demand for accurate energy consumption forecasting has spurred a surge of interest in leveraging advanced machine learning techniques. This project focuses on the application ...

Abstract: Forecasting stock market volatility presents significant challenges and opportunities for both practitioners and researchers in the financial sector. This paper explores the application of ...

ABSTRACT: Time series forecasting is essential for generating predictive insights across various domains, including healthcare, finance, and energy. This study focuses on forecasting patient health ...

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now In the wake of the disruptive debut of ...