The Future of PyMC3, or: Theano is Dead, Long Live Theano | by PyMC Developers | Medium
GPU utilization is high but memory usage is very low leading to subpar sampling performance - Questions - PyMC Discourse
Bayesian Non-parametric Models for Data Science using PyMC
Dr Alex Ioannides – Bayesian Regression in PYMC3 using MCMC & Variational Inference
Using PyMC3 — Computational Statistics in Python 0.1 documentation
Getting started with PyMC3 — PyMC3 3.11.5 documentation
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
Memory issue using GPU · Issue #2448 · pymc-devs/pymc · GitHub
Stan vs PyMc3 (vs Edward) | by Sachin Abeywardana | Towards Data Science
Jonathan Sedar - Hierarchical Bayesian Modelling with PyMC3 and PySTAN - Developers - The Stan Forums
Support multiple tensor backends via NEP-47 (Python array API standard) - Development - PyMC Discourse
PyMC3 Pickle Issue with GPU - Questions - PyMC Discourse
Multicore GPU/MultiGPU sampling support · Issue #3341 · 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 3.1rc3 documentation
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
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PDF] Simple, Distributed, and Accelerated Probabilistic Programming | Semantic Scholar
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
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Probabilistic programming in Python using PyMC3 [PeerJ]
Getting started with PyMC3 — PyMC3 3.11.5 documentation
Blog Posts - PyMC Labs
MCMC for big datasets: faster sampling with JAX and the GPU - PyMC Labs
