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The Top 23 Variational Inference Open Source Projects

Open source projects categorized as Variational Inference
Categories > Machine Learning > Variational Inference
So Vits Svc ⭐ 20,615
SoftVC VITS Singing Voice Conversion
most recent commit 24 days ago
Pyro ⭐ 8,213
Deep universal probabilistic programming with Python and PyTorch
dependent packages 90total releases 34most recent commit a day agopypi pyro-ppl} Downloads
Pymc ⭐ 7,903
Bayesian Modeling and Probabilistic Programming in Python
dependent packages 106total releases 36most recent commit a day agopypi pymc3} Downloads
Edward ⭐ 4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
dependent packages 1total releases 28most recent commit 4 years agopypi Edward} Downloads
Gpflow ⭐ 1,773
Gaussian processes in TensorFlow
dependent packages 19total releases 39most recent commit 6 days agopypi gpflow} Downloads
Bayesian Neural Networks ⭐ 1,633
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
most recent commit 2 months ago
Bayesian Machine Learning ⭐ 1,587
Notebooks about Bayesian methods for machine learning
most recent commit 10 months ago
Awesome Normalizing Flows ⭐ 1,194
Awesome resources on normalizing flows.
most recent commit a month ago
Pytorch Bayesiancnn ⭐ 1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
most recent commit 8 months ago
Variational Autoencoder ⭐ 1,089
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
most recent commit 2 years ago
Variational Autoencoder ⭐ 1,049
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
most recent commit 2 years ago
Boltzmann Machines ⭐ 792
Boltzmann Machines in TensorFlow with examples
most recent commit 2 years ago
Probreg ⭐ 670
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
dependent packages 2total releases 32most recent commit 3 months agopypi probreg} Downloads
Variational Text Tensorflow ⭐ 537
TensorFlow implementation of Neural Variational Inference for Text Processing
most recent commit 7 years ago
Normalizing Flows ⭐ 518
PyTorch implementation of normalizing flow models
dependent packages 1total releases 10most recent commit 4 days agopypi normflows} Downloads
Awesome Vaes ⭐ 448
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
most recent commit 3 years ago
Iaf ⭐ 442
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
most recent commit 5 years ago
Bayes Nn ⭐ 423
Lecture notes on Bayesian deep learning
most recent commit 6 years ago
Probabilistic_unet ⭐ 400
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
most recent commit 3 years ago
Rethinking Numpyro ⭐ 385
Statistical Rethinking (2nd ed.) with NumPyro
most recent commit 5 months ago
Bayesian Torch ⭐ 373
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3most recent commit 20 days agopypi bayesian-torch} Downloads
Deep Generative Models For Natural Language Processing ⭐ 330
DGMs for NLP. A roadmap.
most recent commit a year ago
Pyvarinf ⭐ 300
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
total releases 2most recent commit 4 years ago
The 8 Most Depended On Variational Inference Open Source Projects
Pymc ⭐ 7,903
Bayesian Modeling and Probabilistic Programming in Python
dependent packages 106total releases 36latest release March 15, 2022most recent commit a day agopypi pymc3} Downloads
Pyro ⭐ 8,213
Deep universal probabilistic programming with Python and PyTorch
dependent packages 90total releases 34latest release July 29, 2023most recent commit a day agopypi pyro-ppl} Downloads
Gpflow ⭐ 1,773
Gaussian processes in TensorFlow
dependent packages 19total releases 39latest release August 09, 2023most recent commit 6 days agopypi gpflow} Downloads
Hpfrec ⭐ 76
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
dependent packages 2total releases 58latest release July 25, 2023most recent commit 4 months agopypi hpfrec} Downloads
Bayesian Torch ⭐ 373
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3latest release December 14, 2022most recent commit 20 days agopypi bayesian-torch} Downloads
Edward ⭐ 4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
dependent packages 1total releases 28latest release January 22, 2018most recent commit 4 years agopypi Edward} Downloads
Normalizing Flows ⭐ 518
PyTorch implementation of normalizing flow models
dependent packages 1total releases 10latest release November 16, 2023most recent commit 4 days agopypi normflows} Downloads
The 10 Latest Releases In Variational Inference Open Source Projects
Dibs ⭐ 37
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
total releases 10latest release November 27, 2023most recent commit 8 days ago
Normalizing Flows ⭐ 518
PyTorch implementation of normalizing flow models
dependent packages 1total releases 10latest release November 16, 2023most recent commit 4 days agopypi normflows} Downloads
Avici ⭐ 38
Amortized Inference for Causal Structure Learning, NeurIPS 2022
total releases 5latest release October 23, 2023most recent commit a month ago
Gpflow ⭐ 1,773
Gaussian processes in TensorFlow
dependent packages 19total releases 39latest release August 09, 2023most recent commit 6 days agopypi gpflow} Downloads
Pyro ⭐ 8,213
Deep universal probabilistic programming with Python and PyTorch
dependent packages 90total releases 34latest release July 29, 2023most recent commit a day agopypi pyro-ppl} Downloads
Hpfrec ⭐ 76
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
dependent packages 2total releases 58latest release July 25, 2023most recent commit 4 months agopypi hpfrec} Downloads
Bayesian Torch ⭐ 373
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
dependent packages 1total releases 3latest release December 14, 2022most recent commit 20 days agopypi bayesian-torch} Downloads
Viabel ⭐ 34
Efficient, lightweight variational inference and approximation bounds
total releases 7latest release June 07, 2022most recent commit 3 months ago
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