flaviagiammarino/inception-time-pytorch
PyTorch implementation of InceptionTime model for multivariate time series classification.
This tool helps data scientists and machine learning engineers classify complex patterns within multivariate time series data. You input raw time series data with multiple synchronized measurements over time, along with known categories for historical data. The output is a trained model that can predict the category of new, unseen time series data, enabling automated decision-making or anomaly detection.
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Use this if you need to automatically categorize or identify specific types of events or states from streaming or historical data that changes over time, across many different sensors or indicators simultaneously.
Not ideal if your data isn't in a time series format, you only have a single variable, or you are looking for forecasting future values rather than classifying past or present events.
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Language
Python
License
MIT
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Last pushed
Apr 15, 2024
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