2 code implementations • 27 Nov 2019 • Oskar Triebe, Nikolay Laptev, Ram Rajagopal
In this paper we present a new framework for time-series modeling that combines the best of traditional statistical models and neural networks.
1 code implementation • 29 Nov 2021 • Oskar Triebe, Hansika Hewamalage, Polina Pilyugina, Nikolay Laptev, Christoph Bergmeir, Ram Rajagopal
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.