# NDE for TS

> Neural differential equations for time series: surveys, tutorials, and code.

Neural differential equations model continuous-time dynamics. This site covers neural ordinary differential equations (Neural ODEs), neural controlled differential equations (Neural CDEs), and neural stochastic differential equations (Neural SDEs).

## Pages


- [About](https://nde-for-ts.github.io/): Neural differential equations for time series: surveys, tutorials, and code.
- [Papers](https://nde-for-ts.github.io/papers/): Research papers on neural differential equations for time series analysis.
- [Review](https://nde-for-ts.github.io/review/): An IJCAI survey of neural differential equations for time series analysis.
- [Tutorial](https://nde-for-ts.github.io/tutorial/): Theory and practice of neural differential equations for time series analysis.
- [Contributors](https://nde-for-ts.github.io/people/): Researchers contributing to neural differential equations for time series.

## Related resources

- [Tutorial code](https://github.com/yongkyung-oh/Stable-Neural-SDEs/tree/main/tutorial): Practical examples linked from the tutorial.
- [Scientific Inference Lab](https://scientific-inference-lab.github.io/): Research group homepage.
- [YongKyung Oh](https://yongkyung-oh.github.io/): Maintainer's academic profile.