Top Tweets for #PyMC4
If you want to get started hacking on #PyMC4, Luciano Paz put together a small documentation project here: https://t.co/tb0B0NcNxH
To commemorate our #NeurIPS2019 poster at the program transformations workshop we put out a #PyMC4 alpha release https://t.co/Js3W3EhTtY Radon model: https://t.co/r0noDCopl0

Hey! I'm at #NeurIPS2019! Whistler was greatโท๏ธ! Will be happy to chat about a lot of things: #pymc4, #geoopt, Bayesian Stat Models and Hyperbolic Deep Learning!
Excited for #NeurIPS2019, will present a #PyMC4 poster in Sunday with @ferrine96. If you're at the conference and would like to chat, let me know!
@ChadScherrer @GoogleAI @TensorFlow @facebookai @UberAILabs Google has been supporting the #pymc4 team as well with their work on Tensorflow probability, does that count? cc @pymc_devs
Probabilistic programming in #Tensorflow with the #Keras layers module at #ODSCEurope. Looks amazing, how is #PyMC4 coming along @twiecki

I have launched the #PyDataPodcast! Check out Ep1 with @fonnesbeck where we talk about #ProbabilisticProgramming, #PyMC3, #PyMC4, and baseball analytics https://t.co/p2uALnYPKn It's supposed to be a conversation-based show on more advanced topics, let me know what you think!
We submitted a paper on #PyMC4 to #NeurIPS2019, check it out at https://t.co/6WaP6pWHU4. @ferrine96 @colindcarroll @junpenglao
Sneak-peek into #PyMC4 with the radon model: https://t.co/MBYat53Zy7 Still pre-alpha but if you want to play around, use this branch: https://t.co/wXimVRAu1v

We are making good progress on #PyMC4, just yesterday I sampled the 8 schools model with NUTS (all in TF, fully compiled and vectorized across chains). Mostly work by @ferrine96. Very hard to say when and if it will supersede #PyMC3, but we will continue to maintain it either way
.@twiecki I've assumed PyMC4 will someday replace PyMC3 as the primary PyMC implementation.
If that's right, when do you think it's most likely to happen?
The repo for 3 has more recent activity than the repo for 4, so I'm wondering if the plans for 4 have changed
That might sound obvious, but just for fun I looked at coverage and tried to fill the gaps with tests. And "ha-ha classic" I found bugs in my #pymc4 code๐
Moral: mind the coverage๐คทโโ๏ธ
So much fun to meet the #PyMC4 team this week! Amazing group, broad experience, from all over the world.
Our #PyMC4 hackathon was super productive. We added shape, observed and sampling support, as well as example models. Then, @ferrine96 figured out a way better design and rewrote the whole thing in a couple of hours.
#PyMC4 is currently in a pre-release build, learn more about its move from #Theano to @TensorFlow next Friday at 12 Eastern on Open Source Directions! Comment on this post with questions for @fonnesbeck! Register: https://t.co/FGvWuSrq1E
#opensource @pymc_devs #PyMC3 #DataScience
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