Bayesian inference with probabilistic programming.
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Updated
Jul 16, 2024 - Julia
Bayesian inference with probabilistic programming.
Equilibrium Expectation for ERGM parameter estimation for large networks
Bayesian Evolutionary Analysis Sampling Trees
Fast & scalable MCMC for all your exoplanet needs!
Bayesian Modeling and Probabilistic Programming in Python
A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.
Personal Website with Blogposts, Achievements and Ideas
MCMC sampling algorithms for linear inverse models in R
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
Bayesian Generalized Linear models using `@formula` syntax.
Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms
Types and utility functions for summarizing Markov chain Monte Carlo simulations
Julia implementation of elliptical slice sampling.
Distributed and parallel sampling from intractable distributions
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
Computational statistical mechanics of field-responsive polymer chains
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