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variational-bayes

Here are 27 public repositories matching this topic...

scverse / scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

deep-learning scrna-seq variational-autoencoder variational-bayes single-cell-genomics single-cell-rna-seq deep-generative-model cite-seq human-cell-atlas scverse

Updated Aug 24, 2026
Python

kumar-shridhar / PyTorch-BayesianCNN

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

python pytorch bayesian-network image-recognition convolutional-neural-networks bayesian-inference bayes bayesian-networks variational-inference bayesian-statistics bayesian-neural-networks variational-bayes bayesian-deep-learning pytorch-cnn bayesian-convnets bayes-by-backprop aleatoric-uncertainties

Updated Apr 19, 2024
Python

ivannz / cplxmodule

Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.

pytorch dropout complex-networks variational-bayes sparsification

Updated Jun 14, 2022
Python

Variational-Capsule-Routing

fabio-deep / Variational-Capsule-Routing

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

python machine-learning computer-vision pytorch neural-networks capsule variational-bayes capsnet capsule-network

Updated Jul 15, 2021
Python

simslab / scHPF

Single-cell Hierarchical Poisson Factorization

dimensionality-reduction scrna-seq variational-bayes

Updated Feb 14, 2026
Python

pypmc / pypmc

Clustering with variational Bayes and population Monte Carlo

python clustering cython markov-chain variational-bayes importance-sampling population-monte-carlo

Updated Apr 7, 2026
Python

catniplab / vlgp

Dimensionality reduction of spikes trains

dimensionality-reduction gaussian-processes spike-trains variational-bayes

Updated Oct 9, 2021
Python

skesiraju / BaySMM

Model for learning document embeddings along with their uncertainties

unsupervised-learning uncertainties variational-bayes document-embeddings

Updated Nov 27, 2023
Python

abhiagwl / vistan

A simple library to run variational inference on Stan models.

automatic-differentiation inference autograd stan variational-inference normalizing-flows pystan variational-bayes posterior realnvp inference-algorithms stan-models iw-sampling rank-gaussian

Updated Apr 11, 2023
Python

mingzhang-yin / ARM-gradient

Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)

variance-reduction discrete-optimization variational-bayes stochastic-optimization

Updated Mar 9, 2019
Python

beginaid / GMM-EM-VB

This repository is for sharing the scripts of EM algorithm and variational bayes.

gmm variational-inference em-algorithm variational-bayes gmm-clustering

Updated Dec 9, 2023
Python

hanyas / mimo

A toolbox for inference of mixture models

clustering regression inference vi gmm mcmc variational-inference markov-chain-monte-carlo gibbs-sampling hierarchical-models dirichlet-process-mixtures variational-bayes probabilistic-modeling stochastic-variational-inference mixture-of-experts mixture-models infinite-mixtures infinite-regression-mixtures bayesian-gmm

Updated May 29, 2023
Python

liubin06 / VariationalBPR

Official implementation of Variational Bayesian Personalized Ranking published in IEEE TPAMI 2026.

collaborative-filtering ranking recommender-system variational-bayes interpretable-machine-learning noisy-label-learning pairwise-learning popularity-bias

Updated Jul 7, 2026
Python

geekysuavo / sbl-sandbox

The sparse Bayesian learning sandbox

compressed-sensing bayesian-inference sparse-bayesian-learning variational-bayes

Updated Jul 4, 2021
Python

catniplab / vjf

Variational Joint Filtering

gaussian-processes system-identification online-learning variational-bayes state-space-model rbf-network bayesian-filtering

Updated Jun 30, 2026
Python

pablo-reyes8 / bayesian-sgdlm

bayesian-sgdlm is a Python script for fully Bayesian SGDLMs, treating each node as a VAR( 𝑝) DLM. It leverages decouple–recouple filtering with Variational Bayes and importance sampling to estimate sparse, time-varying cross-lag dependencies (including pandemic dummies) without ever inverting the full multivariate system.

reproducible-research variational-bayes importance-sampling dynamic-linear-model financial-econometrics state-space-model multivariate-time-series bayesian-time-series sgdlm sequential-forecasting

Updated Aug 10, 2026
Python

EdoardoBotta / Gaussian-Mixture-VAE

[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables inspired from "Categorical Reparameterization with Gumbel-Softmax".

inference autoencoder variational-inference variational latent-variables variational-autoencoder variational-bayes gumbel-softmax variational-autoencoders generative-ai

Updated Jun 16, 2024
Python

BAMresearch / bayem

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

python inference bayesian-inference variational-bayes

Updated Dec 3, 2025
Python

jswu18 / approximate-inference

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

variational-bayes approximate-inference loopy-belief-propagation gaussian-process-regression automatic-relevance-determination expectation-maximisation mean-field-approximation

Updated Jun 13, 2023
Python

yuanz271 / vlgpax

JAX version of vLGP (github.com/catniplab/vlgp)

dimensionality-reduction gaussian-processes spike-trains variational-bayes jax

Updated May 27, 2022
Python

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