Bayesian Modeling and Probabilistic Programming in Python
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian inference with probabilistic programming.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
The Python ensemble sampling toolkit for affine-invariant MCMC
Owl - OCaml Scientific Computing @ https://ocaml.xyz
RStan, the R interface to Stan
Bayesian Data Analysis demos for Python
Boltzmann Machines in TensorFlow with examples
Bitmap generation from a single example with convolutions and MCMC
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
Bayesian Data Analysis demos for R
bayesplot R package for plotting Bayesian models
DGMs for NLP. A roadmap.
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
High-performance Bayesian Data Analysis on the GPU in Clojure
Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.
Types and utility functions for summarizing Markov chain Monte Carlo simulations
A repository to keep track of all the code that I end up writing for my blog posts.
Collection of probabilistic models and inference algorithms
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