ai-fast-track/timeseries
Time Series package for fastai v2
This tool helps researchers and analysts make sense of complex sensor data that changes over time, like motion capture or industrial equipment readings. It takes raw time series data, often from multiple sensors, and categorizes it or predicts future values. The output is a clear classification or a prediction, enabling professionals in fields such as human activity recognition, industrial monitoring, or medical diagnostics to understand patterns and make decisions.
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Use this if you need to analyze sequences of sensor data over time to classify events or predict outcomes, such as distinguishing between different gestures or identifying anomalies in equipment performance.
Not ideal if your data is static (not time-dependent) or if you are looking for simple statistical summaries rather than advanced pattern recognition.
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96
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Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Apr 12, 2023
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