This repo contains the code required to train the multivariate time-series Transformer.

Last update: Nov 24, 2022

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Overview

Multi-Variate Time-Series Transformer

This repo contains the code required to train the multivariate time-series Transformer.

Download the data

The Non-Homogeneous Compound Poisson Process aeroelastic simulation data can be downloaded from: https://doi.org/10.5281/zenodo.5544042

Usage

First modify the yaml config file as desired, then the training may be launched with:

python3 train.py -c path/to/config.yaml

Cite

Duthé, G., Abdallah, I., Barber, S., & Chatzi, E. (2021). Modeling and Monitoring Erosion of the Leading Edge of Wind Turbine Blades. Energies, 14(21), 7262. https://doi.org/10.3390/en14217262

Requirements

einops>=0.3.0
h5py>=2.10.0
numpy>=1.20.1
python_box>=5.3.0
PyYAML>=6.0
torch>=1.8.0
tqdm>=4.60.0

Owner

Gregory Duthé

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This repo contains the code required to train the multivariate time-series Transformer.

Related tags

Overview

Multi-Variate Time-Series Transformer

Download the data

Usage

Cite

Requirements

Owner

Gregory Duthé

PIXIE: Collaborative Regression of Expressive Bodies

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