mcmc-sampling
There are 34 repositories under mcmc-sampling topic.
SHI-Yu-Zhe/generative-modeling-explained
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
TuringLang/MCMCTempering.jl
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
NErler/JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
USArmy-Corps-of-Engineers-RMC/Numerics
Numerics is a free and open-source library for .NET developed by USACE-RMC, providing a comprehensive set of methods and algorithms for numerical computations and statistical analysis.
wgurecky/bipymc
Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.
NLPCode/MCMCXLNet
Generate text under lexical constraints.
chto/linna
Likelihood Inference Neural Network Accelerator
MI2G/sampling-tutorials
Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
shermanlo77/cptimeseries
Concept code for predicting precipitation using model fields (temperature, geopotential, wind velocity, etc.) as predictors for sub-areas across the British Isle.
Hendrik1704/GPBayesTools-HIC
Gaussian Process Bayesian Toolkit with Monte Carlo Sampler Integration for Heavy Ion Collisions
amazon-science/contrastive_emc2
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
arcunique/ExoTransit
Python package for retrieval of properties of exoplanets by model-fitting their transit light curves using MCMC with additional features such as detrending of light curves, GP regression, and continuous monitoring of the retrieval process.
gabrielegilardi/BayesianInference
Implementation of Markov chain Monte Carlo sampling and the Metropolis-Hastings algorithm for multi-parameter Bayesian inference.
LorenzoStigliano/inverse-problems-mcmc
Final year undergraduate project focusing on inverse problems and Markov chain Monte Carlo methods.
NikosNikolopoulos/StochasticProcesses
Some interesting applications of Stochastic Processes using Jupyter Notebooks for descriptive and instructive illustrations.
TZhoroev/Uncertainty-Quantification
Uncertainty Quantification for Physical and Biological Models
ashish1610dhiman/learning_norms_with_mcmc_from_pcfg_IJCAI21
The repository houses the source code of paper
ashish1610dhiman/math_proofs
A few proofs and examples related to ML/Prob and Optimisation
cnosa/Metropolis-Hastings
Notebooks: Thesis
DRJP/nimbleAPT
Adaptive paralelle tempering for sampling multi-modal posteriors in NIMBLE.
Eawag-SIAM/SimulatedAnnealingABC.jl
Approximate Bayesian Computation algorithm based on simulated annealing
edwarddramirez/dmbinaries
Code used to constrain dark matter substructure in the solar neighborhood with Gaia eDR3 wide binaries.
yelgharably/MCMC_Cloudy_Models
Running Monte Carlo - Markov Chain algorithm on synthesized spectral models made by CLOUDY to compare them with data from CECILIA survey
aadah/RMC.jl
Original Julia implementation of Ricochet Monte Carlo
carsonmckee/bayesglm
A Python API for Bayesian Generalised Linear Models.
joan-verguizas/Missing-Spurious-Interactions
Model to detect missing and spurious interactions in complex networks
joeliang0520/WaterQuailty
Unsupervised learning , iteration algorithm, and data generation in Frequentist And Bayesian inferences.
jundsp/gibbs
Gibbs samplers for inferring latent variables and learning the parameters of Bayesian hierarchical models.
K211Mengxin/ABC
MSc project
rohankhaitan/br-AI-n
AI Repository
tobias-schnabel/bayesian-econometrics
Final Assignment for Maastricht University EBS 2072: Introduction to Software in Econometrics
quantumsoftwarelab/CGQeMCMC
Code that coarse-grains the Quantum-enhanced Markov Chain Monte Carlo