Neural processes (CNP, NP, ANP) in Keras with ragged-tensor support for sparse, irregular time series
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keras-neural-processes (knp)
Neural processes in Keras for sparse, irregular, variable-length time series (ragged tensors).
We have implemented three model flavors:
| Class | Paper | Aggregation | Latent path |
|---|---|---|---|
CNP |
(Garnelo et al. 2018a) | mean | no |
NP |
(Garnelo et al. 2018b) | mean | yes |
ANP |
(Kim et al. 2019) | self + cross attention | yes |
For more details about this implementation, please refer to (Chaini et. al. 2026). For the repository on application to astronomical light curves, refer to NightLANP.
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