Mcmc
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An introduction to Bayesian inference and probabilistic programming using Python and PyMC, with a computational-first approach.
Bayesian Modeling and Probabilistic Programming in Python
A lightweight probabilistic programming library using NumPy and JAX for autograd and JIT compilation to GPU/TPU/CPU.
A Python tutorial and cookbook for implementing Bayesian modeling techniques using PyMC3.
A Python library for exploratory analysis, diagnostics, and visualization of Bayesian models.
The Python ensemble sampling toolkit for affine-invariant MCMC
A software implementation of factorization machines for estimating interactions between categorical variables in large datasets.
A JavaScript toolkit for statistical analysis, including MCMC sampling, bootstrapping, and linear algebra.
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