Search Results - RepositoryStats

4.6k

24.3k

agpl-3.0

172

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This repository has been archived (exclude archived)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 8 months ago

pyro pyro-ppl

984

8.4k

apache-2.0

201

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

2,472 commits to dev branch, last one 4 days ago

pymc pymc-devs

1.9k

8.2k

other

225

Bayesian Modeling and Probabilistic Programming in Python

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

Created 2009-05-05

9,917 commits to main branch, last one 21 hours ago

GPflow GPflow

435

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

2,448 commits to develop branch, last one 25 days ago

Bayesian-Neural-Networks JavierAntoran

295

1.8k

mit

27

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 7 months ago

PyTorch-BayesianCNN kumar-shridhar

321

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

awesome-normalizing-flows janosh

116

1.3k

mit

43

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

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

variational-autoencoder jaanli

255

1.1k

mit

34

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 about a month 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 4 years ago

boltzmann-machines yell

133

842

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 2 years ago

probreg neka-nat

143

799

mit

21

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 20 days ago

Awesome-VAEs matthewvowels1

77

759

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

96

622

mit

13

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

755 commits to master branch, last one 3 months ago

probabilistic_unet SimonKohl

99

540

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

ddrm bahjat-kawar

54

517

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 about a year ago

rethinking-numpyro fehiepsi

70

429

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 3 months ago

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

33

390

unknown

22

DGMs for NLP. A roadmap.

Created 2019-04-09

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

bcpd ohirose

37

283

mit

8

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

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

rethinking-tensorflow-probability ksachdeva

47

269

apache-2.0

15

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

38

213

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

182

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

59

165

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

61

136

other

18

CmdStanR: the R interface to CmdStan

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

Created 2019-10-01

3,289 commits to master branch, last one 7 days ago

pyvbmc acerbilab

4

108

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

305 commits to main branch, last one 3 months ago

MXFusion amzn

31

102

apache-2.0

19

Modular Probabilistic Programming on MXNet

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

Created 2018-07-31

351 commits to master branch, last one 5 years ago

ReactiveMP.jl ReactiveBayes

13

94

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

3,277 commits to main branch, last one about a month ago

posterior-collapse-list sajadn

9

84

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 4 years ago

Pathfinder.jl mlcolab

4

74

mit

6

Preheat your MCMC

bayesian-inference variational-inference probabilistic-programming

Created 2021-10-16

214 commits to main branch, last one 4 days ago

deep-active-inference-mc zfountas

12

74

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 2 years ago

DUN cambridge-mlg

11

72

mit

8

Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)

pytorch robustness uncertainty learnt-depth deep-learning network-depths neural-networks machine-learning bayesian-inference reproducible-paper reproducible-research variational-inference bayesian-deep-learning probabilistic-inference bayesian-neural-networks expectation-maximization neural-architecture-search uncertainty-quantification uncertainty-neural-networks probabilistic-neural-network

Created 2020-06-12

7 commits to master branch, last one 2 years ago