philipperemy/n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
N-BEATS helps forecasters predict future trends and patterns in data over time. It takes historical time-series data as input and provides future forecasts, along with insights into the underlying components driving those predictions. This is ideal for data scientists, analysts, or researchers who need to understand and predict future values from sequential data.
903 stars. No commits in the last 6 months.
Use this if you need to forecast future values from time-series data and also want some interpretability into how those forecasts are being made.
Not ideal if your data is not sequential or if you only need a simple, black-box forecast without needing to understand its components.
Stars
903
Forks
168
Language
Python
License
MIT
Category
Last pushed
Mar 03, 2023
Commits (30d)
0
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