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The Wayback Machine - https://web.archive.org/web/20220322035801/https://github.com/topics/variational-bayes
Here are
46 public repositories
matching this topic...
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Updated
Feb 5, 2021
Python
Deep probabilistic analysis of single-cell omics data
Updated
Mar 21, 2022
Python
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Updated
Nov 26, 2018
OpenEdge ABL
An extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
Updated
Jul 15, 2021
Python
Complex-valued neural networks for pytorch and Variational Dropout for real and complex layers.
Updated
Aug 10, 2021
Python
MLSS2019 Tutorial on Bayesian Deep Learning
Updated
Dec 31, 2019
Jupyter Notebook
Single-cell Hierarchical Poisson Factorization
Updated
Nov 9, 2020
Python
Clustering with variational Bayes and population Monte Carlo
Updated
Feb 15, 2022
Python
Dimensionality reduction of spikes trains
Updated
Oct 9, 2021
Python
Variational Bayes linear and logistic regression
Updated
Jun 27, 2019
MATLAB
Low-variance, efficient and unbiased gradient estimation for optimizing models with binary latent variables. (ICLR 2019)
Updated
Mar 9, 2019
Python
Model for learning document embeddings along with their uncertainties
Updated
Apr 30, 2021
Python
A study about the following problems: what is the memorization problem in meta-learning; why does memorization problem happen; and how to prevent it. (ICLR 2020)
Updated
Feb 10, 2022
Jupyter Notebook
Scalable sparse Bayesian learning for large CS recovery problems
Updated
Jul 4, 2021
MATLAB
A toolbox for inference of mixture models
Updated
Aug 28, 2021
Python
A simple library to run variational inference on Stan models.
Updated
Jan 29, 2021
Python
Scala embedded universal probabilistic programming language
Updated
Apr 15, 2021
Scala
Updated
Sep 9, 2019
Jupyter Notebook
variational Bayesian algorithm for Brain MR image Segmentation
A list of variational inference algorithms and their performance on MNIST
R package SDA4D for performing 4-dimensional sparse Bayesian tensor decomposition
The sparse Bayesian learning sandbox
Updated
Jul 4, 2021
Python
Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.
Updated
Oct 8, 2017
MATLAB
Embedded Scala probabilistic programming language
Updated
Feb 23, 2018
Scala
Variational Joint Filtering
Updated
Mar 11, 2022
Python
A Python library for sGMRFmix model for anomaly detection in time series
Updated
Mar 29, 2021
Jupyter Notebook
Probabilistic formulation of Group Sparse NMF, variational Bayesian learning.
Updated
Apr 23, 2018
MATLAB
Using mean filed approximation techniques on time series analysis forecast the closing price of Amazon's stocks.
Updated
Jun 3, 2020
Jupyter Notebook
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