flaviagiammarino/nbeats-tensorflow
TensorFlow implementation of N-BEATS model for univariate time series forecasting.
This tool helps data scientists and machine learning engineers accurately predict future values in a single stream of sequential data, like stock prices or sensor readings. You feed in historical time series data, and it outputs precise forecasts for future periods, making it easier to anticipate trends and make informed decisions.
No commits in the last 6 months.
Use this if you are a data scientist or ML engineer working with univariate time series and need a robust TensorFlow-based model for accurate forecasting.
Not ideal if you need to forecast multiple related time series simultaneously or if your primary audience is not comfortable with TensorFlow implementations.
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17
Forks
5
Language
Python
License
MIT
Category
Last pushed
Jun 17, 2024
Commits (30d)
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