Filippo Pellegrino

Does it only apply to the "Deep Models"?

> Also worth saying if you use the Deep CCA methods with single layer linear encoders they should converge to CCA and then could use GPU via that route (if...

Thanks! Take a look at the NN in https://docs.rapids.ai/api/cuml/stable/api.html. I think you should be able to import it right away given that it shares a lot of the scikit-learn syntax.

I am trying to see if it is sufficient to change ncca.py#5 from `from sklearn.neighbors import NearestNeighbors` to `from cuml.neighbors import NearestNeighbors`. It would also be nice to have access...

@azev77 I have implemented the so-called sequential / univariate approach to Kalman filtering and smoothing. This approach is used instead of the default filtering / smoothing by default if the...

Hi there, I am not sure if it has already been implemented, but it would be nice to have an easy command to use relative convergence criteria - rather than...

I have to admit that I haven't explored the full potential of the package, so there may be cases where my suggestion does not apply. I am thinking mostly about...

Will do. For now take a look at this link for a few examples of relative convergence criteria https://www.sfu.ca/sasdoc/sashtml/iml/chap11/sect11.htm.

What is the status on adaptive metropolis proposals? Happy to help if needed

@cpfiffer: thanks for the reply! I will take a look. I am working on an [ABC implementation of Turing](https://github.com/TuringLang/Turing.jl/issues/347) and it would be handy to have it.