mcmc-sampling

There are 1 repository under mcmc-sampling topic.

SHI-Yu-Zhe / generative-modeling-explained
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
adversarial-learning bayesian-inference diffusion-model energy-based-model langevin-dynamics mcmc-sampling score-based-generative-modeling variational-inference generative-modeling equilibrium-sampling non-equilibrium-sampling
45
TuringLang / MCMCTempering.jl
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
julia-language mcmc mcmc-sampling multimodality turing-language probabilistic-programming
Language:Julia 28
NErler / JointAI
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
imputation missing-values bayesian linear-mixed-models linear-regression-models mcmc-sample jags survival mcmc-sampling joint-analysis missing-data imputations glm glmm generalized-linear-models rstats
Language:R 27
NLPCode / MCMCXLNet
Generate text under lexical constraints.
keywords lexical-constraints sentence-generation mcmc-sampling xlnet
Language:Python 8
chto / linna
Likelihood Inference Neural Network Accelerator
cosmology galaxy-clusters neural-networks mcmc-sampling bayesian-inference
Language:Python 7
wgurecky / bipymc
Bayesian Inference. Parallel implementations of DREAM, DE-MC and DRAM.
bayesian-inference bayesian inference mcmc mcmc-sampler gaussian-process-regression bayesian-optimization mpi4py mpi mcmc-sampling dream python dram
Language:Python 7
MI2G / sampling-tutorials
Imaging Inverse Problems and Bayesian Computation - Python tutorials to learn about (accelerated) sampling for uncertainty quantification and other advanced inferences
bayesian-inverse-problems langevin-mc mcmc sampling bayesian-inference deblurring inverse-problems total-variation mcmc-sampling
Language:Jupyter Notebook 4
shermanlo77 / cptimeseries
Concept code for predicting precipitation using model fields (temperature, geopotential, wind velocity, etc.) as predictors for sub-areas across the British Isle.
compound-poisson mcmc-sampling time-series precipitation weather-forecast
Language:Python 4
gabrielegilardi / BayesianInference
Implementation of Markov chain Monte Carlo sampling and the Metropolis-Hastings algorithm for multi-parameter Bayesian inference.
markov-chain-monte-carlo bayesian-inference metropolis-hastings mcmc-sampling posterior-probability bayesian-statistics python c-plus-plus
Language:Python 2
LorenzoStigliano / inverse-problems-mcmc
Final year undergraduate project focusing on inverse problems and Markov chain Monte Carlo methods.
mcmc-methods mcmc-sampling inverse-problems
Language:Jupyter Notebook 2
amazon-science / contrastive_emc2
Code the ICML 2024 paper: "EMC^2: Efficient MCMC Negative Sampling for Contrastive Learning with Global Convergence"
contrastive-learning deep-neural-networks machine-learning machine-learning-algorithms mcmc-sampling multi-modal multi-modal-learning
Language:Python 1
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.
exoplanets transit light-curves mcmc-sampling gp-regression detrending monitoring autocorrelation-time
Language:Jupyter Notebook 1
ashish1610dhiman / learning_norms_with_mcmc_from_pcfg_IJCAI21
The repository houses the source code of paper
baysian-models mcmc-sampling multi-agent-systems metropolis-hastings context-free-grammar ijcai2021
Language:Jupyter Notebook 1
ashish1610dhiman / math_proofs
A few proofs and examples related to ML/Prob and Optimisation
bayesian-inference cubic-splines deep-learning hamiltonian-monte-carlo machine-learning maximum-likelihood-estimation mcmc-sampling metropolis-hastings statistical-learning gaussian gaussian-mixture-models gaussian-random-field hidden-markov-model
Language:Jupyter Notebook 1
cnosa / Tesis-
Cuadernos introductorios
edo mcmc mcmc-sampling metropolis-hastings
Language:Jupyter Notebook 1
DRJP / nimbleAPT
Adaptive paralelle tempering for sampling multi-modal posteriors in NIMBLE.
mcmc-sampling mcmc-methods
Language:R 1
Eawag-SIAM / SimulatedAnnealingABC.jl
Approximate Bayesian Computation algorithm based on simulated annealing
approximate-bayesian-computation approximate-bayesian-inference bayesian-inference mcmc-sampling
Language:Julia 1
NikosNikolopoulos / StochasticProcesses
Some interesting applications of Stochastic Processes using Jupyter Notebooks for descriptive and instructive illustrations.
ising-model markov-chain mcmc-sampling monte-carlo random-walk stochastic-processes traveling-salesman-problem
Language:Jupyter Notebook 1
shlokmishra / Code-Breaking-with-MCMC
algorithm mcmc mcmc-sampler mcmc-sampling simulation
Language:R 1
carsonmckee / bayesglm
A Python API for Bayesian Generalised Linear Models.
glms mcmc-sampling metropolis-hastings mcmc
Language:C++ 0
chiral-carbon / inverse-prompt
Inverse prompting LLMs for interpretability
large-language-models machine-learning masked-language-models mcmc-sampling metropolis-hastings
Language:Jupyter Notebook 0
edwarddramirez / dmbinaries
Code used to constrain dark matter substructure in the solar neighborhood with Gaia eDR3 wide binaries.
bayesian-inference binaries dark-matter dark-matter-halos data-processing dynamical-modeling gaia gaiaedr3 mcmc-analysis mcmc-sampling scalability survival-analysis
Language:Jupyter Notebook 0
jundsp / gibbs
Gibbs samplers for inferring latent variables and learning the parameters of Bayesian hierarchical models.
bayesian-inference dirichlet-process-mixtures dynamical-systems gibbs-sampling hierarchical-models mcmc-sampling mixture-model generative-model probability
Language:Python 0
rohankhaitan / br-AI-n
AI Repository
bayesian-neural-network differential-equations mcmc-sampling probabilistic-modelling simulation variational-inference
Language:Jupyter Notebook 0
tobias-schnabel / bayesian-econometrics
Final Assignment for Maastricht University EBS 2072: Introduction to Software in Econometrics
bayesian-inference mcmc-sampling posterior-predictive rstanarm
Language:R 0
Uncertainty-Quantification
TZhoroev / Uncertainty-Quantification
Uncertainty Quantification for Physical and Biological Models
mcmc-sampling surrogate-models uncertainty-quantification
Language:MATLAB 0
Hendrik1704 / GPBayesTools-HIC
Gaussian Process Bayesian Toolkit with Monte Carlo Sampler Integration for Heavy Ion Collisions
emulator gaussian-processes heavy-ion-collisions mcmc-sampling
Language:Jupyter Notebook
joeliang0520 / WaterQuailty
Unsupervised learning , iteration algorithm, and data generation in Frequentist And Bayesian inferences.
bayesian-inference frequentist-statistics mcmc-sampling randomwalk
K211Mengxin / ABC
MSc project
bayesian-inference mcmc-sampling

mcmc-sampling

SHI-Yu-Zhe / generative-modeling-explained

TuringLang / MCMCTempering.jl

NErler / JointAI

NLPCode / MCMCXLNet

chto / linna

wgurecky / bipymc

MI2G / sampling-tutorials

shermanlo77 / cptimeseries

gabrielegilardi / BayesianInference

LorenzoStigliano / inverse-problems-mcmc

amazon-science / contrastive_emc2

arcunique / ExoTransit

ashish1610dhiman / learning_norms_with_mcmc_from_pcfg_IJCAI21

ashish1610dhiman / math_proofs

cnosa / Tesis-

DRJP / nimbleAPT

Eawag-SIAM / SimulatedAnnealingABC.jl

NikosNikolopoulos / StochasticProcesses

shlokmishra / Code-Breaking-with-MCMC

carsonmckee / bayesglm

chiral-carbon / inverse-prompt

edwarddramirez / dmbinaries

jundsp / gibbs

rohankhaitan / br-AI-n

tobias-schnabel / bayesian-econometrics

TZhoroev / Uncertainty-Quantification

Hendrik1704 / GPBayesTools-HIC

joeliang0520 / WaterQuailty

K211Mengxin / ABC