flaviagiammarino/lstm-fcn-pytorch
PyTorch implementation of LSTM-FCN model for univariate time series classification.
This tool helps data scientists and machine learning engineers categorize single-variable time series data. You input a collection of time series, each labeled with its true category, and it outputs a model that can predict the category of new, unseen time series. This is useful for tasks like classifying sensor readings, financial signals, or patient monitoring data.
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Use this if you need to automatically sort or categorize sequences of measurements that change over time, especially when dealing with a single type of measurement per sequence.
Not ideal if your time series data involves multiple variables at each time step (multivariate) or if you are looking to forecast future values rather than classify past patterns.
Stars
28
Forks
3
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2024
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