Navidfoumani / Series2Vec

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Series2Vec

This is a PyTorch implementation of Series2Vec: Similarity-based Self-supervised Representation Learning for Time Series Classification.

Code Update: [22.03.2024]

Note:

If you downloaded the code prior to the latest update, please ensure to update to the current version as it is consistent with the paper.

Get data from UEA Archive and HAR and Ford Challenge

Download dataset files and place them into the specified folder UEA: http://www.timeseriesclassification.com/Downloads/Archives/Multivariate2018_ts.zip Copy the datasets folder to: Datasets/UEA/

Setup

Instructions refer to Unix-based systems (e.g. Linux, MacOS).

This code has been tested with Python 3.7 and 3.8.

pip install -r requirements.txt

Run

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