Shypd.aiThe largest open index of AI toolsN-BEATS is an open-source neural network-based model for univariate time series forecasting. It enables researchers and data scientists to reproduce experimental results from the original N-BEATS paper.
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N-BEATS is a neural-network based model designed for univariate time series forecasting, open-sourced by ServiceNow Research and originally developed at Element AI. This repository provides a PyTorch implementation of the N-BEATS algorithm, allowing users to reproduce the experimental results detailed in the associated research paper. It includes model architecture, dataset loaders for various datasets used in the paper, and experimental configurations for both generic and interpretable models. The project emphasizes reproducibility and provides instructions for setting up the environment using Docker, running experiments on CPU or GPU, and analyzing results via Jupyter notebooks. It's a valuable resource for researchers and data scientists working with time series forecasting.
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