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markov-chain-monte-carlo

Here are 166 public repositories matching this topic...

GPflow / GPflow

Gaussian processes in TensorFlow

machine-learning deep-learning tensorflow ml gaussian-processes variational-inference bayesian-statistics markov-chain-monte-carlo stochastic-processes gp gpflow

Updated Sep 16, 2022
Python

netket

netket / netket

Machine learning algorithms for many-body quantum systems

machine-learning deep-learning quantum machine-learning-algorithms neural-networks physics-simulation hamiltonian markov-chain-monte-carlo monte-carlo-methods exact-diagonalization variational-method jax variational-monte-carlo quantum-state-tomography complex-neural-network unitaryhack

Updated Sep 15, 2022
Python

fehiepsi / rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

python numpy variational-inference causal-inference bayesian-statistics markov-chain-monte-carlo laplace-approximation

Updated Apr 4, 2022
Jupyter Notebook

uncomplicate / bayadera

High-performance Bayesian Data Analysis on the GPU in Clojure

machine-learning clojure statistics gpu opencl cuda clojure-library high-performance-computing gpu-acceleration bayesian gpu-computing bayesian-inference mcmc bayesian-data-analysis markov-chain-monte-carlo

Updated Sep 10, 2020
Clojure

FranxYao / Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

natural-language-processing parsing decoding text-generation generative-text generative-model graphical-models mcmc language-model generative-adversarial-networks variational-inference markov-chain-monte-carlo latent-variable-models normalizing-flows structured-prediction discrete-structures generative-models variational-autoencoders approximate-inference gradient-estimation

Updated Aug 6, 2022

wiseodd / MCMC

Collection of Monte Carlo (MC) and Markov Chain Monte Carlo (MCMC) algorithms applied on simple examples.

machine-learning bayesian-inference mcmc markov-chain-monte-carlo sampling-methods

Updated Dec 20, 2017
Python

ksachdeva / rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

tensorflow tutorials bayesian-inference variational-inference bayesian-statistics markov-chain-monte-carlo tensorflow-probability statistical-rethinking

Updated Jan 19, 2022
Jupyter Notebook

mici

matt-graham / mici

Manifold Markov chain Monte Carlo methods in Python

python mcmc hmc hamiltonian-monte-carlo markov-chain-monte-carlo hybrid-monte-carlo inference-algorithms

Updated Sep 20, 2021
Python

NBISweden / MrBayes

MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

bioinformatics phylogenetics research-tool bayesian-inference markov-chain-monte-carlo

Updated May 10, 2022
C

Joseph94m / MCMC

Implementation of Markov Chain Monte Carlo in Python from scratch

machine-learning bayesian-inference mcmc markov-chain-monte-carlo metropolis-hastings

Updated Aug 20, 2020
Jupyter Notebook

choderalab / openmmtools

A batteries-included toolkit for the GPU-accelerated OpenMM molecular simulation engine.

python molecular-dynamics openmm molecular-simulations mcmc markov-chain-monte-carlo alchemical-free-energy-calculations free-energy-calculations replica-exchange integrators

Updated Sep 8, 2022
Python

ermongroup / a-nice-mc

Code for "A-NICE-MC: Adversarial Training for MCMC"

tensorflow markov-chain generative-adversarial-network neural-networks tensorflow-experiments bayesian-inference markov-chain-monte-carlo bayesian-machine-learning generative-models

Updated Jul 20, 2018
Jupyter Notebook

kthohr / mcmc

A C++ library of Markov Chain Monte Carlo (MCMC) methods

cpp automatic-differentiation eigen cpp11 armadillo differential-evolution mcmc hmc hamiltonian-monte-carlo markov-chain-monte-carlo de metropolis-hastings eigen3 mala langevin-diffusion riemannian-manifold

Updated Aug 15, 2022
C++

kingaa / pomp

R package for statistical inference using partially observed Markov processes

Updated Sep 1, 2022
R

stan-dev / cmdstanr

Sponsor

CmdStanR: the R interface to CmdStan

bayesian stan r-package mcmc variational-inference maximum-likelihood markov-chain-monte-carlo

Updated Sep 6, 2022
R

mschauer / ZigZagBoomerang.jl

Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection

boomerang probabilistic-programming bayesian-inference pdmp markov-chain-monte-carlo zigzag bouncy-particle-sampler

Updated Sep 2, 2022
Julia

eggplantbren / DNest4

Diffusive Nested Sampling

probability probabilistic-programming bayesian-inference nested-sampling markov-chain-monte-carlo

Updated Sep 6, 2022
C++

prmiles / pymcmcstat

Python implementation of MATLAB toolbox "mcmcstat"

python mcmc markov-chain-monte-carlo metropolis-hastings delayed-rejection adaptive-metropolis

Updated Aug 14, 2022
Jupyter Notebook

eigenfoo / littlemcmc

A lightweight and performant implementation of HMC and NUTS in Python, spun out of the PyMC project.

python mcmc hmc markov-chain-monte-carlo nuts

Updated Apr 22, 2021
Python

helske / bssm

Bayesian Inference of State Space Models

r time-series cpp state-space particle-filter bayesian-inference markov-chain-monte-carlo

Updated Jul 6, 2022
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