Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
-
Updated
May 12, 2024 - Python
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Course materials for PROBABILITY AND STATISTICS A/B
Bayesian Modeling and Probabilistic Programming in Python
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Bayesian Evolutionary Analysis Sampling Trees
Distributed and parallel sampling from intractable distributions
Bayesian inference with probabilistic programming.
Personal Website with Blogposts, Achievements and Ideas
CmdStanR: the R interface to CmdStan
Bayesian Generalized Linear models using `@formula` syntax.
Normalizing-flow enhanced sampling package for probabilistic inference in Jax
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Bayesian Data Analysis demos for R
Code for the ICML 2024 paper "Connecting the Dots: Is Mode-Connectedness the Key to Feasible Sample-Based Inference in Bayesian Neural Networks?"
Autologistic Actor Attribute Model (ALAAM) parameter estimation, simulation, and goodness-of-fit
Generalisation of electrical models of neurons with MCMC
PhyML -- Phylogenetic estimation using (Maximum) Likelihood
Fast & scalable MCMC for all your exoplanet needs!
Add a description, image, and links to the mcmc topic page so that developers can more easily learn about it.
To associate your repository with the mcmc topic, visit your repo's landing page and select "manage topics."