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Topic: "variational-lower-bound"

mark-antal-csizmadia/variational-inference-gmm

Coordinate ascent mean-field variational inference (CAVI) using the evidence lower bound (ELBO) to iteratively perform the optimal variational factor distribution parameter updates for clustering.

Language: Jupyter Notebook - Size: 676 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

mark-antal-csizmadia/DD2434-VAE-Project

Replication of the research paper titled Auto-Encoding Variational Bayes.

Language: Python - Size: 8.35 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

ChuaCheowHuan/bayesian_ML

Bayesian based machine learning implementations (GMM, VAE & conditional VAE).

Language: Jupyter Notebook - Size: 813 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

mark-antal-csizmadia/variational-inference

Factorized variational approximation using a univariate Gaussian distribution over a single variable x.

Language: Jupyter Notebook - Size: 1.05 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Related Topics
elbo 3 kl-divergence 3 variational-inference 3 python 3 mean-field-theory 2 variational-autoencoder 2 clustering 1 keras 1 latent-space 1 marginal-likelihood 1 reconstruction 1 reparameterization-trick 1 tensorflow 1 tensorflow2 1 coordinate-ascent 1 gaussian-mixture-model 1 latent-variables 1 probabilistic-graphical-models 1 gaussian-models 1 conditional-vae 1 conditional-variational-autoencoder 1 cvae 1 e-step 1 em 1 expectation-maximization 1 gaussian-mixture-models 1 gmm 1 m-step 1 mnist 1 vae 1 autoencoder 1 bayes 1 decoder 1 encoder 1 generative-model 1