variational-bayes
There are 60 repositories under variational-bayes topic.
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
snakeztc/NeuralDialog-CVAE
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
dsteinberg/libcluster
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
ivannz/cplxmodule
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
fabio-deep/Variational-Capsule-Routing
Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf
ReactiveBayes/ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
ivannz/mlss2019-bayesian-deep-learning
MLSS2019 Tutorial on Bayesian Deep Learning
simslab/scHPF
Single-cell Hierarchical Poisson Factorization
pypmc/pypmc
Clustering with variational Bayes and population Monte Carlo
catniplab/vlgp
Dimensionality reduction of spikes trains
skesiraju/BaySMM
Model for learning document embeddings along with their uncertainties
DrugowitschLab/VBLinLogit
Variational Bayes linear and logistic regression
mingzhang-yin/ARM-gradient
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
mingzhang-yin/Meta-learning-without-memorization
A study on the following problems: what the memorization problem is in meta-learning; why memorization problem happens; and how we can prevent it. (ICLR 2020)
geekysuavo/variational-bayes-cs
Scalable sparse Bayesian learning for large CS recovery problems
abhiagwl/vistan
A simple library to run variational inference on Stan models.
hanyas/mimo
A toolbox for inference of mixture models
beginaid/GMM-EM-VB
This repository is for sharing the scripts of EM algorithm and variational bayes.
huajh/variational_bayesian_clusterings
variational Bayesian algorithm for Brain MR image Segmentation
scala-infer/scala-infer
Scala embedded universal probabilistic programming language
xxl4tomxu98/econometrics-gdp-dpi-VAR
Multivariate time series Vector Autoregression Model (VAR) on real world GDP and DPI (and some other indexes). Bayesian Structured Time Series (BSTS).
catniplab/vjf
Variational Joint Filtering
geekysuavo/sbl-sandbox
The sparse Bayesian learning sandbox
fangleai/Variational-inference-on-MNIST
A list of variational inference algorithms and their performance on MNIST
marchinilab/SDA4D
R package SDA4D for performing 4-dimensional sparse Bayesian tensor decomposition
AntixK/sGMRFmix
A Python library for sGMRFmix model for anomaly detection in time series
fvlankvelt/emmy
Embedded Scala probabilistic programming language
iivek/dag-constrained-nmf
Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.
iivek/group-sparse-nmf-vb
Group sparse NMF, variational Bayesian learning.
Sheev13/vae
PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images
vidhig/stock-closing-price-prediction-bayesian-analysis
Using mean filed approximation techniques on time series analysis forecast the closing price of Amazon's stocks.
juanwulu/g-neva
Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach, AISTATS 2024.
yuanz271/vlgpax
JAX version of vLGP (github.com/catniplab/vlgp)