Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.
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Updated
Oct 8, 2017 - MATLAB
Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.
PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images
Inference in the Bayesian Latent Dirichlet Allocation (LDA) using Gibbs Sampling and Variational Bayes
Jax Parallel Implementation of Variational Hidden Markov Model
Proof of concept for online VMP for HAR models.
Library implementing the linear and logistic variational Bayes models as formulated in PRML and other sources
implement machine learning models from scratch
A list of variational inference algorithms and their performance on MNIST
Simulation Demo of Variational Bayes Model in My Master's Degree Thesis in Statistics
Cross-center smoothness prior for Bayesian image segmentation
Bayesian regression with Chebyshev polynomials
An implementation of Stochastic Gradient Variational Bayes (SGVB) in PyTorch
Algorithms for inference in Gaussian Mixture Models.
Variational Bayesian neural network for filtering and smoothing.
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach, AISTATS 2024.
Variational Feature Learning
Expectation Maximisation, Variational Bayes, ARD, Loopy Belief Propagation, Gaussian Process Regression
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