variational-bayes

There are 61 repositories under variational-bayes topic.

  • Bayesian-Neural-Networks-Variational-Inference-and-MC-Dropout

    Language:Jupyter Notebook2

  • torchtree-experiments

    Language:R

  • eci2017-bayesian-models

    Language:Jupyter Notebook

  • bayem

    Implementation and derivation of "Variational Bayesian inference for a nonlinear forward model." [Chappell et al. 2008] for arbitrary, user-defined model errors.

    Language:Python2

  • variational-bayes

    Algorithms for inference in Gaussian Mixture Models.

    Language:Jupyter Notebook1

  • VariationalHMM

    Jax Parallel Implementation of Variational Hidden Markov Model

    Language:Jupyter Notebook1

  • sgvb-torch

    An implementation of Stochastic Gradient Variational Bayes (SGVB) in PyTorch

    Language:Python1

  • ML_from_Scratch

    implement machine learning models from scratch

    Language:Python1

  • variational_bayes_models

    Library implementing the linear and logistic variational Bayes models as formulated in PRML and other sources

    Language:Jupyter Notebook1

  • Dissertation

    Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression

    Language:Jupyter Notebook1

  • cc-smoothprior

    Cross-center smoothness prior for Bayesian image segmentation

    Language:Python1

  • NPBayes_fMRI

    User friendly MATLAB GUI for Bayesian nonparametric spatio-temporal modeling of fMRI data. Accompany paper: Kook et al. (2019). NPBayes-fMRI: Nonparametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. Statistics in Biosciences, 11(1), 3-21.

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  • NSIW2023-keynote

    Code for keynote talk at Nonlinear System Identification Workshop 2023 at TU Eindhoven.

    Language:HTML

  • but-baya-project

    Inference in the Bayesian Latent Dirichlet Allocation (LDA) using Gibbs Sampling and Variational Bayes

    Language:HTML

  • approximate-inference

    Expectation Maximisation, Variational Bayes, ARD, Loopy Belief Propagation, Gaussian Process Regression

    Language:Python

  • bayesreg-chebyshev

    Bayesian regression with Chebyshev polynomials

    Language:Jupyter Notebook

  • vbnn-filter

    Variational Bayesian neural network for filtering and smoothing.

    Language:HTML

  • bnn-post-hoc

    Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".

    Language:Python

  • research-demo

    Simulation Demo of Variational Bayes Model in My Master's Degree Thesis in Statistics

    Language:R

  • vartorch

    Bayesian neural networks in PyTorch

    Language:Python

  • ISIT-2020-HAR

    Proof of concept for online VMP for HAR models.

    Language:Jupyter Notebook

  • vbnmr

    Variational Bayes for the time-domain NMR model

    Language:C

  • vfl

    Variational Feature Learning

    Language:C