Dr Alex Ioannides – Bayesian Regression in PYMC3 using MCMC & Variational Inference
Inefficient use of pmap in jax numpyro sampler? · Issue #4288 · pymc-devs/ pymc · GitHub
Memory issue using GPU · Issue #2448 · pymc-devs/pymc · GitHub
PyMC3 — Bayesian Statistical Modelling in Python, Максим Кочуров. 22 …
PDF) An introduction to data analysis using the PyMC3 probabilistic programming framework: A case study with Gaussian Mixture Modeling
Using PyMC3 — STA663-2020 1.0 documentation
PyMC3 Sampling code not utilizing GPU cores · Issue #1073 · pymc-devs/pymc · GitHub
Getting started with PyMC3 — PyMC3 3.11.5 documentation
Stan vs PyMc3 (vs Edward) | by Sachin Abeywardana | Towards Data Science
Getting started with PyMC3 — PyMC3 3.11.5 documentation
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
Using PyMC3 on the GPU · Issue #1246 · pymc-devs/pymc · GitHub
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Probabilistic programming in Python using PyMC3 [PeerJ]
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
GitHub - Xin-cqu/dlcontainer: A docker image for deep learning in fMRI. GPU supported. Pytorch, Keras, Tensorflow, Nilearn, Pymc3
Jonathan Sedar - Hierarchical Bayesian Modelling with PyMC3 and PySTAN - Developers - The Stan Forums
Getting started with PyMC3 — PyMC3 3.1rc3 documentation
Inefficient use of pmap in jax numpyro sampler? · Issue #4288 · pymc-devs/ pymc · GitHub
Thomas Wiecki on Probabilistic Programming with PyMC3
Using PyMC3 — STA663-2020 1.0 documentation
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Probabilistic programming in Python using PyMC3 [PeerJ]
Getting started with PyMC3 — PyMC3 3.11.5 documentation
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
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PDF] Simple, Distributed, and Accelerated Probabilistic Programming | Semantic Scholar
Massively parallel programming with GPUs — Computational Statistics in Python 0.1 documentation
Installation of pymc3 version with GPU support — cell2location documentation
