joseph-nagel/vartorch

Bayesian neural networks in PyTorch

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pypmc/pypmc

Clustering with variational Bayes and population Monte Carlo

Language: Python - Size: 746 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 50 - Forks: 13

scverse/scvi-tools

Deep probabilistic analysis of single-cell and spatial omics data

Language: Python - Size: 150 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,429 - Forks: 402

catniplab/vjf

Variational Joint Filtering

Language: Python - Size: 40.8 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 8 - Forks: 4

ivannz/cplxmodule

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

Language: Python - Size: 473 KB - Last synced at: 10 days ago - Pushed at: about 3 years ago - Stars: 148 - Forks: 28

matthewvowels1/Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Size: 16.1 MB - Last synced at: 7 days ago - Pushed at: about 4 years ago - Stars: 823 - Forks: 74

ReactiveBayes/ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

Language: Julia - Size: 107 MB - Last synced at: 1 day ago - Pushed at: 3 days ago - Stars: 114 - Forks: 14

ivannz/mlss2019-bayesian-deep-learning

MLSS2019 Tutorial on Bayesian Deep Learning

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abhiagwl/vistan

A simple library to run variational inference on Stan models.

Language: Python - Size: 280 KB - Last synced at: 19 days ago - Pushed at: over 2 years ago - Stars: 32 - Forks: 3

kumar-shridhar/PyTorch-BayesianCNN

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

Language: Python - Size: 66.2 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1,498 - Forks: 329

mattiabr1/variational-bayes

Algorithms for inference in Gaussian Mixture Models.

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fabio-deep/Variational-Capsule-Routing

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

Language: Python - Size: 6.33 MB - Last synced at: 8 months ago - Pushed at: about 4 years ago - Stars: 104 - Forks: 20

DrugowitschLab/VBLinLogit

Variational Bayes linear and logistic regression

Language: MATLAB - Size: 114 KB - Last synced at: 4 days ago - Pushed at: about 6 years ago - Stars: 34 - Forks: 14

JBris/prefect-surrogate-models

Demonstrating the use of Prefect to orchestrate the creation of machine learning surrogate models as applied to mechanistic crop models.

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huajh/variational_bayesian_clusterings

variational Bayesian algorithm for Brain MR image Segmentation

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4ment/torchtree-experiments

Language: R - Size: 163 KB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

EdoardoBotta/Gaussian-Mixture-VAE

[Pytorch] Minimal implementation of a Variational Autoencoder (VAE) with Categorical Latent variables.

Language: Python - Size: 25.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

juanwulu/g-neva

Towards Generalizable and Interpretable Motion Prediction: A Deep Variational Bayes Approach, AISTATS 2024.

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geekysuavo/vbnmr

Variational Bayes for the time-domain NMR model

Language: C - Size: 354 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 1

geekysuavo/vfl

Variational Feature Learning

Language: C - Size: 720 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

geekysuavo/sbl-sandbox

The sparse Bayesian learning sandbox

Language: Python - Size: 20.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 6 - Forks: 2

BAMresearch/bayem

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

Language: Python - Size: 2.77 MB - Last synced at: 9 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

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.

Language: C++ - Size: 1.1 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 138 - Forks: 21

morim3/VariationalHMM

Jax Parallel Implementation of Variational Hidden Markov Model

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geekysuavo/variational-bayes-cs

Scalable sparse Bayesian learning for large CS recovery problems

Language: MATLAB - Size: 60.6 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 19 - Forks: 10

AntixK/sGMRFmix

A Python library for sGMRFmix model for anomaly detection in time series

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beginaid/GMM-EM-VB

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

Language: Python - Size: 116 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1

simslab/scHPF

Single-cell Hierarchical Poisson Factorization

Language: Python - Size: 1.3 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 60 - Forks: 10

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).

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catniplab/vlgp

Dimensionality reduction of spikes trains

Language: Python - Size: 165 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 46 - Forks: 7

TomasBeranek/but-baya-project

Inference in the Bayesian Latent Dirichlet Allocation (LDA) using Gibbs Sampling and Variational Bayes

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skesiraju/BaySMM

Model for learning document embeddings along with their uncertainties

Language: Python - Size: 40 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 4

Sheev13/vae

PyTorch implementation of a variational autoencoder (VAE) for use on multi-channel 2D data such as images

Language: Jupyter Notebook - Size: 791 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

sunsikim/research-demo

Simulation Demo of Variational Bayes Model in My Master's Degree Thesis in Statistics

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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

Language: OpenEdge ABL - Size: 16.4 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 308 - Forks: 86

scala-infer/scala-infer

Scala embedded universal probabilistic programming language

Language: Scala - Size: 414 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 3

marchinilab/SDA4D

R package SDA4D for performing 4-dimensional sparse Bayesian tensor decomposition

Language: R - Size: 215 KB - Last synced at: 10 months ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 2

jswu18/approximate-inference

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

Language: Python - Size: 26.6 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

hanyas/mimo

A toolbox for inference of mixture models

Language: Python - Size: 713 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 4

wmkouw/NSIW2023-keynote

Code for keynote talk at Nonlinear System Identification Workshop 2023 at TU Eindhoven.

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bgrimstad/sgvb-torch

An implementation of Stochastic Gradient Variational Bayes (SGVB) in PyTorch

Language: Python - Size: 29.3 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

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)

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mingzhang-yin/ARM-gradient

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

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satyaborg/bnn-post-hoc

Code and experiments for the preprint: "Bayesian Neural Network Versus Ex-Post Calibration For Capturing Prediction Uncertainty".

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robin-karlsson0/variational_bayes_models

Library implementing the linear and logistic variational Bayes models as formulated in PRML and other sources

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Koukyosyumei/ML_from_Scratch

implement machine learning models from scratch

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wmkouw/bayesreg-chebyshev

Bayesian regression with Chebyshev polynomials

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wmkouw/vbnn-filter

Variational Bayesian neural network for filtering and smoothing.

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yuanz271/vlgpax

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

Language: Python - Size: 152 KB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

vidhig/stock-closing-price-prediction-bayesian-analysis

Using mean filed approximation techniques on time series analysis forecast the closing price of Amazon's stocks.

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iivek/dag-constrained-nmf

Nonnegative matrix factorization with DAG constraints. A probabilistic formulation, variational learning.

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idnavid/misc

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MauroCE/Dissertation

Third year mathematics dissertation on variational, laplace and mcmc approximations of bayesian logistic regression

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marinavannucci/NPBayes_fMRI Fork of rimehi/NPBayes_fMRI

User friendly MATLAB GUI for Bayesian nonparametric spatio-temporal modeling of fMRI data. Accompany paper: Kook et al. (2019). NPBayes-fMRI: Nonparametric Bayesian General Linear Models for Single- and Multi-Subject fMRI Data. Statistics in Biosciences, 11(1), 3-21.

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biaslab/ISIT-2020-HAR

Proof of concept for online VMP for HAR models.

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fvlankvelt/emmy

Embedded Scala probabilistic programming language

Language: Scala - Size: 240 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 1

fangleai/Variational-inference-on-MNIST

A list of variational inference algorithms and their performance on MNIST

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wmkouw/cc-smoothprior

Cross-center smoothness prior for Bayesian image segmentation

Language: Python - Size: 819 KB - Last synced at: 5 months ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

iivek/group-sparse-nmf-vb

Probabilistic formulation of Group Sparse NMF, variational Bayesian learning.

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jbayardo/eci2017-bayesian-models

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