Blog Posts - PyMC Labs
Using PyMC3 — STA663-2020 1.0 documentation
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
Getting started with PyMC3 — PyMC3 3.11.5 documentation
![Probabilistic programming in Python using PyMC3 [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2016/cs-55/1/fig-5-full.png "Probabilistic programming in Python using PyMC3 [PeerJ]")
Probabilistic programming in Python using PyMC3 [PeerJ]
Inefficient use of pmap in jax numpyro sampler? · Issue #4288 · pymc-devs/ pymc · GitHub
PyMC3 — Bayesian Statistical Modelling in Python, Максим Кочуров. 22 …
Using PyMC3 — STA663-2020 1.0 documentation
PyMC3 — Bayesian Statistical Modelling in Python, Максим Кочуров. 22 …
Getting started with PyMC3 — PyMC3 3.11.5 documentation
Support multiple tensor backends via NEP-47 (Python array API standard) - Development - PyMC Discourse
GPU utilization is high but memory usage is very low leading to subpar sampling performance - Questions - PyMC Discourse
GitHub - Xin-cqu/dlcontainer: A docker image for deep learning in fMRI. GPU supported. Pytorch, Keras, Tensorflow, Nilearn, Pymc3
Getting started with PyMC3 — PyMC3 3.11.5 documentation
Stan vs PyMc3 (vs Edward) | by Sachin Abeywardana | Towards Data Science
Dr Alex Ioannides – Bayesian Regression in PYMC3 using MCMC & Variational Inference
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
Massively parallel programming with GPUs — Computational Statistics in Python 0.1 documentation
Pymc3 / pymc v4 GPU example for a basic hierarchical model with NUTS sampling - version agnostic - PyMC Discourse
Bayesian Non-parametric Models for Data Science using PyMC
Inefficient use of pmap in jax numpyro sampler? · Issue #4288 · pymc-devs/ pymc · GitHub
![Probabilistic programming in Python using PyMC3 [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2016/cs-55/1/fig-7-full.png "Probabilistic programming in Python using PyMC3 [PeerJ]")