flaviagiammarino/tcan-tensorflow
TensorFlow implementation of TCAN model for multivariate time series forecasting with sparse attention mechanisms.
This project helps data scientists and machine learning engineers working with complex, interconnected data over time. It takes in multiple related time series datasets and produces forecasts for future values, along with confidence intervals. This is for users who need to predict trends and future states based on historical patterns in multivariate time series data.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer developing advanced forecasting models for multiple interdependent time series.
Not ideal if you are a business user looking for a ready-to-use forecasting application without coding, or if your time series data is univariate (single series).
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26
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7
Language
Python
License
MIT
Category
Last pushed
Apr 15, 2024
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