Bayesian Modeling and Probabilistic Programming in Python
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Updated
Jun 2, 2024 - Python
Bayesian Modeling and Probabilistic Programming in Python
The Python ensemble sampling toolkit for affine-invariant MCMC
Bayesian Data Analysis demos for Python
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
RStan, the R interface to Stan
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian inference with probabilistic programming.
Bayesian Data Analysis demos for R
A repository to keep track of all the code that I end up writing for my blog posts.
Boltzmann Machines in TensorFlow with examples
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Bayesian Evolutionary Analysis by Sampling Trees
Implementation of Markov Chain Monte Carlo in Python from scratch
bayesplot R package for plotting Bayesian models
Collection of probabilistic models and inference algorithms
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Use MCMC to analyze districting plans and gerrymanders
Bayesian Evolutionary Analysis Sampling Trees
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