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Variational Inference Python Packages

Python packages with the GitHub topic variational-inference. Sorted by relevance, with stars and monthly downloads.
pyro-ppl
pyro-ppl

Deep universal probabilistic programming with Python and PyTorch

1.2M 9K 1K
pymc-devs
pymc

Bayesian Modeling and Probabilistic Programming in Python

1.1M 10K 2K
pymc-devs
pymc3

Bayesian Modeling and Probabilistic Programming in Python

326K 10K 2K
GPflow
gpflow

Gaussian processes in TensorFlow

90K 2K 432
VincentStimper
normflows

PyTorch implementation of normalizing flow models

4K 944 133
cbg-ethz
scdef

Deep exponential families for single-cell data.

2K 20 1
desResLab
linfa-vi

A Python library for variational inference with normalizing flow and annealing

2K 15 2
neka-nat
probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

2K 974 155
shz9
viprs

Variational Inference of Polygenic Risk Scores (VIPRS)

1K 30 3
pymc-devs
pymc-nightly

Bayesian Modeling and Probabilistic Programming in Python

943 10K 2K
soran-ghaderi
torchebm

Components and algorithms for energy-based models

887 83 7
RasmussenLab
move-dl

MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations

683 96 33
huangyh09
vireosnp

vireoSNP - donor deconvolution for multiplexed scRNA-seq data

597 99 29
larslorch
avici

Amortized Inference for Causal Structure Learning, NeurIPS 2022

582 75 11
RobbenRibery
tuotuo

LDA & Neura based topic modelling library

548 6 2
4ment
torchtree

A probabilistic framework in PyTorch for phylogenetic models

469 20 4
abhiagwl
vistan

Library to run VI algorithms on Stan models.

453 33 3
larslorch
dibs-lib

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

405 53 14
lucadellalib
bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

361 14 1
raphbrodeur
torchbayesian

PyTorch-native Bayesian neural networks for uncertainty quantification in deep learning

359 6 1
amzn
mxfusion

Modular Probabilistic Programming on MXNet

303 104 28
team-approx-bayes
ivon-opt

An optimizer for neural networks based on variational learning

271 82 9
jhuggins
viabel

Efficient, lightweight variational inference and approximation bounds

249 47 15
AIH-SGML
mixmil

Attention-based Multi-instance Mixed Models

192 21 3
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