Search Results for author:
Found 2 papers, 2 papers with code
AR-Net: A simple Auto-Regressive Neural Network for time-series
In this paper we present a new framework for time-series modeling that combines the best of traditional statistical models and neural networks.
NeuralProphet: Explainable Forecasting at Scale
NeuralProphet is a hybrid forecasting framework based on PyTorch and trained with standard deep learning methods, making it easy for developers to extend the framework.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
