Parameter Efficient Deep Probabilistic Forecasting

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Deep Learning pedpf
Overview

PEDPF Airlab Amsterdam

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.

Reference

Olivier Sprangers, Sebastian Schelter, Maarten de Rijke. Parameter Efficient Deep Probabilistic Forecasting. Accepted as journal paper to International Journal of Forecasting.

License

This project is licensed under the terms of the Apache 2.0 license.

Acknowledgements

This project was developed by Airlab Amsterdam.

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Comments
  • Problem about code

    Problem about code

    Hi, Happy new year! I've read your paper, and your work is very helpful to me, but when I want to run your codes, there is no lib.utils and lib.train files in your code, can you share the missing files with me? Thanks!!!

    opened by liuhahayue 0
Owner
Olivier Sprangers
PhD student at University of Amsterdam
Olivier Sprangers
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