#NumPyro - Twitter Hashtag

8 months ago

生徒の"学力の伸び"、どう測る？ 🤔 #ドワンゴの教育事業のデータサイエンティストがPythonライブラリ #NumPyro を使った実装を解説 📝 ベイズ推定の結果診断や学力調査でも使われる「垂直尺度化」など、一歩踏み込んだ内容も扱っています。ぜひご覧ください 👇 https://t.co/Ac3pfiFJDt #Python #データサイエンス #項目反応理論 #EdTech

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Adam Fleischhacker PhD, MBA

@preposterior

over 1 year ago

{causact} 📦 v0.5.7 is on its way to CRAN. Visualize your Bayesian modelling assumptions using #rstats and get lightning fast inference using #numpyro for free. Give it a try!

Adam Fleischhacker PhD, MBA

@preposterior

over 4 years ago

{causact} 📦 helps you communicate your Bayesian modelling assumptions using #rstats. Can you spot the difference in these 3 Bayesian models?

preposterior's tweet photo. {causact} 📦 helps you communicate your Bayesian modelling assumptions using #rstats.

Can you spot the difference in these 3 Bayesian models? https://t.co/5WHIU2hiVa

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Nawaf Bou-Rabee

@nawaf_bou

over 1 year ago

In case you missed it: my recent talk on the No-U-Turn Sampler is now available! I share new insights into its reversibility and mixing time. Enjoy! https://t.co/kXDoeZq7Au #MCMC #mcmc_stan #pymc3 #nimble #turinglang #numpyro #tensorflow #pymc_labs #Statistics #MachineLearning

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Adam Fleischhacker PhD, MBA

@preposterior

almost 3 years ago

The {causact}📦 is bringing #numpyro speed to #rstats. Learning computational #Bayesian inference has never been easier. 🐣Install with ease 📊Build visual models with DAGs 🚅Automate Inference at #numpyro speed Test the #numpyro version from github: https://t.co/LVB1Mc9UdU

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Jose Luis Cañadas @joscani

almost 3 years ago

Ayer estuve de cena con @gilbellosta y con @r_vaquerizo alias "el frecuentista". Después de la cena @gilbellosta me casi convenció de que #numpyro es el futuro de lo bayesiano. Y he de reconocer que ha supuesto un gran avance. Ya no le puedo decir eso de que se acaba el ...

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Adam Fleischhacker PhD, MBA

@preposterior

about 3 years ago

I've been making progress on my #Bayesian inference in #python book draft. Latest addition is the multi-level modelling chapter. Check it out and then post your feedback here. Thanks! #numpyro Book: https://t.co/zR0TsMqhka

preposterior's tweet photo. I've been making progress on my #Bayesian inference in #python book draft. Latest addition is the multi-level modelling chapter. Check it out and then post your feedback here. Thanks! #numpyro

Book: https://t.co/zR0TsMqhka https://t.co/JVeXeQCDa3

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PyMC Developers https://bayes.club/@pymc @pymc_devs

about 3 years ago

🎉 Exciting news for #PyMC users! The latest release now allows you to choose from different NUTS samplers provided by packages like #nutpie, #blackjax and #numpyro. With wicked fast options like nutpie, your modeling just got a whole lot faster. Upgrade today and try it out. 🚀

pymc_devs's tweet photo. 🎉 Exciting news for #PyMC users!
The latest release now allows you to choose from different NUTS samplers provided by packages like #nutpie, #blackjax and #numpyro. With wicked fast options like nutpie, your modeling just got a whole lot faster. Upgrade today and try it out. 🚀 https://t.co/oiIFj0d9FG

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のんた @wayana_nonta

over 3 years ago

#numpyro をwindows10にインストールできた。 WindowsServerでベイズ統計モデルのアプリが作れる！ #streamlit の組み合わせも面白そう！ pip install jaxlib-*-win_amd64.whl pip install jax pip install numpyro pip install arviz https://t.co/T84OQFr3Q4

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Marius Millea @cosmic_mar

over 3 years ago

It's #Numpyro+Jax since it was easy to get lots of example problems, but as a Julia stan gotta say it was really easy and pleasant to use 👏

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Hajime Kawahara @Hajime_dxdydz

about 4 years ago

ExoJAX v1.1.0 released. #numpyro HMC reverse mode, optimization by #JAXopt, and VALD3 (metal lines) available: https://t.co/Kd4ZANJ84Y

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Hajime Kawahara @Hajime_dxdydz

over 4 years ago

Our paper on a JAX-based high-res exoplanet/BD spectrum model has been accepted by ApJS. https://t.co/pCxWZWTCAW #jax #numpyro

Hajime_dxdydz's tweet photo. Our paper on a JAX-based high-res exoplanet/BD spectrum model has been accepted by ApJS. https://t.co/pCxWZWTCAW #jax #numpyro https://t.co/E6f4zEObuW

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Arthur Lui @luiarthur89

almost 6 years ago

For #GSoC 2020, I benchmarked inference algorithms (ADVI, HMC, NUTS) for the Dirichlet process (stick breaking construction) Gaussian mixture model in PPLs, including #TuringLang, #mcmc_stan, #Pyro, #Numpyro, and #TensorFlowProbability. Check it out. https://t.co/sGdS3t3jLR

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KSE @semanticbeeng

over 6 years ago

"Statistical Rethinking (2nd ed.) with #NumPyro" - "a small #ProbabilisticProgramming library provides a #NumPy backend for #Pyro" "powered by #JAX for autograd & JIT compilation to #GPU/CPU" distributions module follows #PyTorch https://t.co/MLB1yrFqeq https://t.co/khqzOzkjdg

Du Phan @fehiepsi

over 6 years ago

Just having fun using NumPyro and JAX to do inference for ODE parameters - this finishes the translation of @rlmcelreath's Statistical Rethinking 2nd ed. book (latest draft version) to NumPyro https://t.co/546NiSSrOw

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