NLeSC/mcfly
A deep learning tool for time series classification and regression
This tool helps scientists and researchers automatically analyze complex time series data, like sensor readings or medical signals, without needing deep expertise in signal processing. You input your raw time series data, and it automatically classifies events or predicts values within that data. This is ideal for researchers in fields like healthcare, sports science, or environmental monitoring who work with sequential data.
367 stars. No commits in the last 6 months.
Use this if you need to categorize patterns or predict outcomes from raw time series data, such as identifying activities from accelerometer readings or detecting anomalies in sensor outputs, without manually extracting features.
Not ideal if you prefer to have full control over traditional signal processing feature engineering or if you do not work with time series data.
Stars
367
Forks
84
Language
JavaScript
License
Apache-2.0
Category
Last pushed
Sep 04, 2025
Commits (30d)
0
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