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Edward is officially moving into TensorFlow

discourse.edwardlib.org

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Re: Edward is officially moving into TensorFlow

#41

Post by eatbitseveryday »

foepys wrote: post #25
eatbitseveryday wrote: post #15

Earlier quoted context omitted.

The announcement is on edwardlib.org (the URL shared on HN). Wouldn't that be an obvious connection? A project making an announcement about itself on its own website, seems natural to me.

The announcement should at least include a link to an explanation on the main project page. Due to only being posted on discourse, there is no direct link to go to the main project page, only by manually editing the URL or googling for Edward. Even the logo in the top-left corner only leads to the discourse overview page. Edit: Just editing the URL leads to an HTTPS error because the certificate is only valid for *.g…

I agree the connection could be smoother to get there... shrugs not really something I'm spending cycles being concerned about.

Re: Edward is officially moving into TensorFlow

#42

Post by nextos »

dragandj wrote: post #22
dasmoth wrote: post #12

Earlier quoted context omitted.

Who's the numpy competitor? R? Eigen? Neanderthal? HMatrix? (Yes, none of these are exactly 1:1 equivalent with numpy, but there absolutely are options. And from my point of view, having some options which aren’t tied to Python is healthy).

Thanks for mentioning Neanderthal! http://neanderthal.uncomplicate.org http://github.com/uncomplicate/neanderthal It aims to have more features, and more speed than numpy, with Clojure, on the JVM + Nvidia + AMD + Intel. Also relevant here is Bayadera, Clojure/GPU Bayesian modeling lib for the JVM: http://github.com/uncomplicate/bayadera

Bayadera looks very cool. Do you have any examples involving complex hierarchical models, and performance vs Stan or PyMC?

Re: Edward is officially moving into TensorFlow

#43

Post by dragandj »

nextos wrote: post #42
dragandj wrote: post #22

Earlier quoted context omitted.

Thanks for mentioning Neanderthal! http://neanderthal.uncomplicate.org http://github.com/uncomplicate/neanderthal It aims to have more features, and more speed than numpy, with Clojure, on the JVM + Nvidia + AMD + Intel. Also relevant here is Bayadera, Clojure/GPU Bayesian modeling lib for the JVM: http://github.com/uncomplicate/bayadera

Bayadera looks very cool. Do you have any examples involving complex hierarchical models, and performance vs Stan or PyMC?

Yes. See https://github.com/uncomplicate/bayadera/tree/master/test/cl...

and

https://www.youtube.com/watch?v=bEOOYbscyTs

https://www.youtube.com/watch?v=TGxYfi3Vi3s

Re: Edward is officially moving into TensorFlow

#44

Post by nextos »

dragandj wrote: post #43
nextos wrote: post #42

Earlier quoted context omitted.

Bayadera looks very cool. Do you have any examples involving complex hierarchical models, and performance vs Stan or PyMC?

Yes. See https://github.com/uncomplicate/bayadera/tree/master/test/cl... and https://www.youtube.com/watch?v=bEOOYbscyTs https://www.youtube.com/watch?v=TGxYfi3Vi3s

Thanks!

Re: Edward is officially moving into TensorFlow

#45

Post by splike »

cshenton wrote: post #29
splike wrote: post #26

Earlier quoted context omitted.

I've only seen Edward for the first time today, and it looks quite nice. Could you (or anyone else) comment on why would you choose Edward over something PyMC3? How does it compare?

I had the same question when I was first choosing libraries for my current project! So I put together this comparison of PyMC3, Edward, and Stan. It's jut doing bayesian inference on the location and scale of data sampled from a normal distribution. Super simple, but highlights the differences between the libraries. https://github.com/cshenton/normal-comparison Having worked with Edward, the LOC difference is decepti…

That's useful, thanks!
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