Inference in the Bayesian Latent Dirichlet Allocation (LDA) using Gibbs Sampling and Variational Bayes
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Updated
Jan 8, 2023 - HTML
Inference in the Bayesian Latent Dirichlet Allocation (LDA) using Gibbs Sampling and Variational Bayes
Proof of concept for online VMP for HAR models.
Variational Bayes for the time-domain NMR model
Simulation Demo of Variational Bayes Model in My Master's Degree Thesis in Statistics
Bayesian regression with Chebyshev polynomials
Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".
Algorithms for inference in Gaussian Mixture Models.
Variational Bayesian neural network for filtering and smoothing.
Variational Feature Learning
Expectation Maximisation, Variational Bayes, ARD, Loopy Belief Propagation, Gaussian Process Regression
Code for keynote talk at Nonlinear System Identification Workshop 2023 at TU Eindhoven.
Bayesian neural networks in PyTorch
Jax Parallel Implementation of Variational Hidden Markov Model
Library implementing the linear and logistic variational Bayes models as formulated in PRML and other sources
implement machine learning models from scratch
Cross-center smoothness prior for Bayesian image segmentation
Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression
An implementation of Stochastic Gradient Variational Bayes (SGVB) in PyTorch
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