Edward

[chananshgong]

I would like to repeat all the examples with Edward. What do you think?

[CamDavidsonPilon]

Neat! I’d love to see this!

[chananshgong]

I would probably need help

On Nov 29, 2017 3:09 PM, "Cameron Davidson-Pilon" [email protected] wrote:

Neat! I’d love to see this!

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[petecog]

i was thinking the same. Happy to help - in my limited way.

[petecog]

#349 looks like @cavities has tried, but got stuck at the first hurdle.

[petecog]

Looking at the possibility of porting the examples to pyro also. This excellent book could become a Rosetta stone for different PP approaches.

[tigershen23]

@petecog any progress on a Pyro port? @jvans1 and I are thinking of doing the same. TensorFlow also recently released a PP library: https://medium.com/tensorflow/introducing-tensorflow-probability-dca4c304e245

[nathanin]

Hi everyone, I'm working through this book by re-implementing examples in tensorflow_probability -- killing two birds with one stone.

Here's my version of the introduction chapter main example: https://github.com/nathanin/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/blob/master/Chapter1_Introduction/Chapter_1_Introduction_tensorflow_probability.ipynb

It's good to go with the seed, and MCMC settings as-is. On other runs, I've seen some weird results for tau, and bimodal distributions for the lambdas that I can't quite explain. I'm new to this whole thing, so critiques welcome!