Meteorologists frequently mention weather prediction models in their forecasts. They explain what they’re gleaning from the “U.S. Model,” for instance, and how that might differ from the “European ...

GluonTS is a Python toolkit for probabilistic time series modeling, built around Apache MXNet (incubating). GluonTS provides utilities for loading and iterating over time series datasets, state of the ...

This beginner-friendly tutorial shows how to create clear, interactive graphs in GlowScript VPython. You’ll learn the basics of setting up plots, graphing data in real time, and customizing axes and ...

At the start of a new year, it’s human nature to want a crystal ball: What lies ahead, and how will it affect us? This feeling is particularly acute in times of uncertainty, when the ability to engage ...

This project provides a modern, well-structured implementation of hierarchical time series forecasting methods. It supports various forecasting algorithms (ARIMA, Prophet, LSTM) and reconciliation ...

Making precise numerical predictions is risky. No wonder most people prefer prognosticating in prose. But some less lily-livered forecasters are happy to commit themselves to specific numbers, such as ...