Parameter Efficient Deep Probabilistic Forecasting (PEDPF) is a repository containing code to run experiments for several deep learning based probabilistic forecasting methods. For more details, see our paper.
Olivier Sprangers, Sebastian Schelter, Maarten de Rijke. Parameter Efficient Deep Probabilistic Forecasting. Accepted as journal paper to International Journal of Forecasting.
This project is licensed under the terms of the Apache 2.0 license.
This project was developed by Airlab Amsterdam.