52 results found Sort:

4.9k
26.4k
agpl-3.0
180
SoftVC VITS Singing Voice Conversion
This repository has been archived (exclude archived)
Created 2023-03-10
854 commits to 4.1-Stable branch, last one about a year ago
2.0k
8.8k
other
224
Bayesian Modeling and Probabilistic Programming in Python
Created 2009-05-05
10,183 commits to main branch, last one 2 days ago
983
8.6k
apache-2.0
199
Deep universal probabilistic programming with Python and PyTorch
Created 2017-06-16
2,500 commits to dev branch, last one 6 days ago
432
1.9k
apache-2.0
75
Gaussian processes in TensorFlow
Created 2016-01-14
2,452 commits to develop branch, last one 2 days ago
Awesome resources on normalizing flows.
Created 2019-12-11
110 commits to main branch, last one 4 months ago
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Created 2016-08-15
59 commits to master branch, last one 9 months ago
273
1.0k
unknown
79
Seminars DeepBayes Summer School 2018
Created 2018-08-25
50 commits to master branch, last one 5 years ago
148
874
mit
22
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Created 2019-01-07
275 commits to master branch, last one 8 months ago
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Created 2019-08-12
57 commits to master branch, last one 3 years ago
PyTorch implementation of normalizing flow models
Created 2020-01-28
757 commits to master branch, last one 5 months ago
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
Created 2022-01-27
13 commits to master branch, last one 2 years ago
100
548
apache-2.0
20
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Created 2018-08-28
20 commits to master branch, last one 4 years ago
Statistical Rethinking (2nd ed.) with NumPyro
Created 2019-10-27
145 commits to master branch, last one 11 months ago
Julia package for automated Bayesian inference on a factor graph with reactive message passing
Created 2022-06-10
1,422 commits to main branch, last one 8 days ago
Statistical Rethinking (2nd Ed) with Tensorflow Probability
Created 2020-01-14
120 commits to master branch, last one 3 years ago
41
221
bsd-3-clause
12
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Created 2018-05-04
760 commits to master branch, last one about a year ago
Scalable inference for a generative model of astronomical images
Created 2015-01-03
2,316 commits to master branch, last one 4 years ago
61
172
gpl-3.0
23
GPstuff - Gaussian process models for Bayesian analysis
Created 2014-08-28
2,094 commits to develop branch, last one 2 years ago
62
145
other
17
CmdStanR: the R interface to CmdStan
Created 2019-10-01
3,386 commits to master branch, last one 17 days ago
7
117
bsd-3-clause
5
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Created 2021-01-19
317 commits to main branch, last one 3 days ago
High-performance reactive message-passing based Bayesian inference engine
Created 2019-12-23
3,464 commits to main branch, last one a day ago
31
104
apache-2.0
19
Modular Probabilistic Programming on MXNet
This repository has been archived (exclude archived)
Created 2018-07-31
351 commits to master branch, last one 5 years ago
A curated list of techniques to avoid posterior collapse
Created 2019-07-25
37 commits to master branch, last one 5 years ago
5
83
apache-2.0
1
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
Created 2023-07-14
5 commits to main branch, last one 2 months ago