jambo6/online-neural-cdes
Code for: "Neural Controlled Differential Equations for Online Prediction Tasks"
This project helps data scientists and researchers working with complex, time-evolving datasets to make real-time predictions. It takes in irregularly sampled time series data, such as sensor readings or patient vital signs, and enables immediate, accurate forecasts as new data points arrive. This is for professionals who need to act on predictions continuously, without waiting for complete data batches.
No commits in the last 6 months.
Use this if you need to make continuous, real-time predictions from irregularly sampled data streams, such as in financial trading, patient monitoring, or industrial control.
Not ideal if your prediction tasks are offline, do not require real-time updates, or if you prefer models that process data in complete, fixed-length batches.
Stars
41
Forks
6
Language
Python
License
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Category
Last pushed
Oct 19, 2022
Commits (30d)
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