Search Results - RepositoryStats

4.8k

25.9k

agpl-3.0

179

SoftVC VITS Singing Voice Conversion

ai vc flow vits voice sovits speech pytorch so-vits-svc deep-learning voice-changer audio-analysis voiceconversion voice-conversion variational-inference singing-voice-conversion generative-adversarial-network

This repository has been archived (exclude archived)

Created 2023-03-10

854 commits to 4.1-Stable branch, last one about a year ago

pymc pymc-devs

2.0k

8.7k

other

226

Bayesian Modeling and Probabilistic Programming in Python

mcmc python pytensor bayesian-inference statistical-analysis variational-inference probabilistic-programming

Created 2009-05-05

10,118 commits to main branch, last one 24 hours ago

pyro pyro-ppl

986

8.6k

apache-2.0

200

Deep universal probabilistic programming with Python and PyTorch

python pytorch bayesian deep-learning machine-learning bayesian-inference variational-inference probabilistic-modeling probabilistic-programming

Created 2017-06-16

2,496 commits to dev branch, last one 18 days ago

GPflow GPflow

434

1.8k

apache-2.0

76

Gaussian processes in TensorFlow

gp ml gpflow tensorflow deep-learning machine-learning gaussian-processes bayesian-statistics stochastic-processes variational-inference markov-chain-monte-carlo

Created 2016-01-14

2,451 commits to develop branch, last one about a month ago

Bayesian-Neural-Networks JavierAntoran

303

1.8k

mit

28

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Created 2019-03-11

86 commits to master branch, last one about a year ago

awesome-normalizing-flows janosh

124

1.4k

mit

44

Awesome resources on normalizing flows.

awesome-list autoregressive machine-learning normalizing-flows bayesian-inference density-estimation generative-modeling variational-inference bayesian-neural-networks

Created 2019-12-11

110 commits to main branch, last one about a month ago

PyTorch-BayesianCNN kumar-shridhar

324

1.4k

mit

31

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

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

Created 2018-07-27

308 commits to master branch, last one 3 years ago

variational-autoencoder jaanli

256

1.2k

mit

33

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

vae deep pytorch learning tensorflow deep-learning machine-learning deep-neural-networks unsupervised-learning variational-inference variational-autoencoder autoregressive-neural-networks probabilistic-graphical-models

Created 2016-08-15

59 commits to master branch, last one 7 months ago

deepbayes-2018 bayesgroup

275

1.0k

unknown

79

Seminars DeepBayes Summer School 2018

bayesian deep-learning variational-inference

Created 2018-08-25

50 commits to master branch, last one 5 years ago

probreg neka-nat

147

864

mit

22

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

3d open3d filterreg point-cloud registration dual-quaternion coherent-point-drift rigid-transformations variational-inference non-rigid-registration gaussian-mixture-models dual-quaternion-skinning point-cloud-registration expectation-maximization-algorithm

Created 2019-01-07

275 commits to master branch, last one 6 months ago

boltzmann-machines yell

135

849

mit

35

Boltzmann Machines in TensorFlow with examples

ais dbm pcd rbm mcmc keras tensorflow deep-learning gibbs-sampling machine-learning tensorflow-models boltzmann-machines energy-based-model sklearn-compatible variational-inference annealed-importance-sampling restricted-boltzmann-machine contrastive-divergence-algorithm

Created 2017-10-23

773 commits to master branch, last one 3 years ago

Awesome-VAEs matthewvowels1

77

787

unknown

32

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

vae awesome-list deep-learning disentanglement generative-model variational-bayes unsupervised-learning variational-inference representation-learning variational-autoencoder variational-auto-encoder disentangled-representations

Created 2019-08-12

57 commits to master branch, last one 3 years ago

normalizing-flows VincentStimper

108

724

mit

15

PyTorch implementation of normalizing flow models

glow pytorch real-nvp residual-flow normalizing-flow density-estimation neural-spline-flow variational-inference variational-autoencoder invertible-neural-networks

Created 2020-01-28

757 commits to master branch, last one 2 months ago

ddrm bahjat-kawar

53

586

mit

6

[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository

diffusion deblurring inpainting score-based diffusion-models inverse-problems super-resolution variational-inference

Created 2022-01-27

13 commits to master branch, last one 2 years ago

probabilistic_unet SimonKohl

100

546

apache-2.0

20

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

nips u-net neurips nips-2018 neurips-2018 generative-models semantic-segmentation variational-inference variational-autoencoders

Created 2018-08-28

20 commits to master branch, last one 4 years ago

rethinking-numpyro fehiepsi

73

449

mit

13

Statistical Rethinking (2nd ed.) with NumPyro

numpy python causal-inference bayesian-statistics laplace-approximation variational-inference markov-chain-monte-carlo

Created 2019-10-27

145 commits to master branch, last one 9 months ago

Deep-Generative-Models-for-Natural-Language-Processing FranxYao

33

392

unknown

22

DGMs for NLP. A roadmap.

Created 2019-04-09

191 commits to master branch, last one about a year ago

bcpd ohirose

39

297

mit

9

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

downsampling shape-analysis shape-matching outlier-detection shape-deformation bayesian-inference gaussian-processes coherent-point-drift variational-inference non-rigid-registration point-set-registration point-cloud-registration

Created 2019-03-31

63 commits to master branch, last one 4 months ago

RxInfer.jl ReactiveBayes

23

278

mit

17

Julia package for automated Bayesian inference on a factor graph with reactive message passing

julia-language message-passing inference-engine machine-learning bayesian-inference variational-inference probabilistic-programming

Created 2022-06-10

1,315 commits to main branch, last one 8 days ago

rethinking-tensorflow-probability ksachdeva

50

269

apache-2.0

14

Statistical Rethinking (2nd Ed) with Tensorflow Probability

tutorials tensorflow bayesian-inference bayesian-statistics variational-inference statistical-rethinking tensorflow-probability markov-chain-monte-carlo

Created 2020-01-14

120 commits to master branch, last one 2 years ago

vbmc acerbilab

40

219

bsd-3-clause

12

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

matlab data-analysis machine-learning bayesian-inference gaussian-processes variational-inference

Created 2018-05-04

760 commits to master branch, last one about a year ago

Celeste.jl jeff-regier

28

184

mit

14

Scalable inference for a generative model of astronomical images

astronomy graphical-models bayesian-inference astronomical-images astronomical-catalogs variational-inference

Created 2015-01-03

2,316 commits to master branch, last one 4 years ago

gpstuff gpstuff-dev

61

170

gpl-3.0

23

GPstuff - Gaussian process models for Bayesian analysis

mcmc octave bayesian regression classification spatial-analysis survival-analysis bayesian-inference gaussian-processes covariance-functions bayesian-optimization variational-inference expectation-propagation

Created 2014-08-28

2,094 commits to develop branch, last one about a year ago

cmdstanr stan-dev

63

144

other

17

CmdStanR: the R interface to CmdStan

mcmc stan bayes bayesian r-package maximum-likelihood variational-inference markov-chain-monte-carlo

Created 2019-10-01

3,342 commits to master branch, last one 16 hours ago

pyvbmc acerbilab

6

115

bsd-3-clause

5

PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python

python data-analysis machine-learning bayesian-inference gaussian-processes variational-inference

Created 2021-01-19

315 commits to main branch, last one about a month ago

ReactiveMP.jl ReactiveBayes

14

109

mit

13

High-performance reactive message-passing based Bayesian inference engine

julia inference message-passing variational-bayes bayesian-inference variational-inference probabilistic-programming probabilistic-graphical-models

Created 2019-12-23

3,406 commits to main branch, last one 7 days ago

MXFusion amzn

31

104

apache-2.0

19

Modular Probabilistic Programming on MXNet

mxnet python machine-learning bayesian-inference variational-inference probabilistic-programming

This repository has been archived (exclude archived)

Created 2018-07-31

351 commits to master branch, last one 5 years ago

posterior-collapse-list sajadn

9

85

unknown

4

A curated list of techniques to avoid posterior collapse

awesome awesome-list generative-model posterior-collapse variational-inference variational-autoencoder

Created 2019-07-25

37 commits to master branch, last one 5 years ago

deep-active-inference-mc zfountas

15

84

gpl-3.0

4

Deep active inference agents using Monte-Carlo methods

dsprites animal-ai active-inference cognitive-science monte-carlo-methods variational-inference cognitive-architectures machine-learning-models monte-carlo-tree-search variational-autoencoders disentangled-representations model-based-reinforcement-learning

Created 2020-06-03

22 commits to master branch, last one 3 years ago

BayeSeg obiyoag

5

81

apache-2.0

2

[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"

image-segmentation model-generalization statistical-modelling variational-inference bayesian-deep-learning

Created 2023-07-14

4 commits to main branch, last one 4 months ago