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Time Series Classification of Engine Data using Transformers

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Hackathon_Result_Slides.pptx		Hackathon_Result_Slides.pptx
Hackathon_Task _IconPro_ICNAP_format_April 2022.pptx		Hackathon_Task _IconPro_ICNAP_format_April 2022.pptx
README.md		README.md
aux_code.py		aux_code.py
fft.py		fft.py
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lstm.py		lstm.py
readme.txt		readme.txt
requirements.txt		requirements.txt

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Fraunhofer_ICNAP_Hackathon

Topic: Time Series Classification of Engine Data using Transformers

Date: 20.05.2022 - 22.05.2022

Tasks:

Implement transformer algorithm for classification of timeseries dataset
Train the model and report your findings on the validation split
Compare the results by running provided LSTM network
(Bonus) Perform the same task for timeseries regression analysis

Included:

Dataset and its description
Auxiliary code, research papers, useful Github repositories link
Hackathon Presentation
Programming Language: Python

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