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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

UpdatedMay 29, 2025
Python

netket

netket /netket

Machine learning algorithms for many-body quantum systems

machine-learning deep-learning quantum neural-networks physics-simulation hamiltonian markov-chain-monte-carlo monte-carlo-methods variational-method jax variational-monte-carlo nqs unitaryhack neural-quantum-states

UpdatedDec 1, 2025
Python

fehiepsi /rethinking-numpyro

Statistical Rethinking (2nd ed.) with NumPyro

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

UpdatedMay 4, 2025
Jupyter Notebook

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

UpdatedDec 12, 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

UpdatedDec 20, 2017
Python

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

UpdatedSep 10, 2020
Clojure

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

UpdatedSep 30, 2025
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

UpdatedJan 19, 2022
Jupyter Notebook

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

UpdatedApr 15, 2025
C

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

UpdatedNov 24, 2025
Python

Joseph94m /MCMC

Implementation of Markov Chain Monte Carlo in Python from scratch

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

UpdatedAug 20, 2020
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

UpdatedFeb 8, 2024
C++

stan-dev /cmdstanr

CmdStanR: the R interface to CmdStan

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

UpdatedDec 1, 2025
R

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

UpdatedJul 20, 2018
Jupyter Notebook

kingaa /pomp

R package for statistical inference using partially observed Markov processes

markov-model r time-series state-space statistical-inference particle-filter dynamical-systems abc differential-equations mathematical-modelling likelihood markov-chain-monte-carlo stochastic-processes likelihood-free b-spline measurement-error sequential-monte-carlo sobol-sequence simulation-based-inference iterated-filtering

UpdatedNov 25, 2025
R

dkanungo /Probabilistic-ML-for-finance-and-investing

Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python

finance trading investing project-management probabilistic-programming monte-carlo-simulation uncertainty-quantification hamiltonian-monte-carlo markov-chain-monte-carlo portfolio-theory epistemology probabilistic-models maximum-likelihood-estimation capm ensemble-machine-learning aleatoric-uncertainty epistemic-uncertainty ontological-information generative-ai npv-analysis

UpdatedApr 19, 2025
Jupyter Notebook

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

UpdatedSep 2, 2022
Julia

prmiles /pymcmcstat

Python implementation of MATLAB toolbox "mcmcstat"

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

UpdatedAug 14, 2022
Jupyter Notebook

eggplantbren /DNest4

Diffusive Nested Sampling

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

UpdatedNov 23, 2025
C++

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

UpdatedJul 25, 2024
Python

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