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The Top 23 Python Variational Inference Open Source Projects

Open source projects categorized as Python Variational Inference
Categories > Machine Learning > Variational Inference
So Vits Svc ⭐ 20,615
SoftVC VITS Singing Voice Conversion
most recent commit 5 months ago
Pyro ⭐ 8,330
Deep universal probabilistic programming with Python and PyTorch
dependent packages 90total releases 34most recent commit 9 days agopypi pyro-ppl} Downloads
Pymc ⭐ 8,128
Bayesian Modeling and Probabilistic Programming in Python
dependent packages 106total releases 36most recent commit 6 days agopypi pymc3} Downloads
Gpflow ⭐ 1,783
Gaussian processes in TensorFlow
dependent packages 19total releases 39most recent commit 3 months agopypi gpflow} Downloads
Awesome Normalizing Flows ⭐ 1,232
Awesome resources on normalizing flows.
most recent commit 4 months ago
Pytorch Bayesiancnn ⭐ 1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
most recent commit a year 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 8 months agopypi probreg} Downloads
Variational Text Tensorflow ⭐ 537
TensorFlow implementation of Neural Variational Inference for Text Processing
most recent commit 8 years ago
Normalizing Flows ⭐ 520
PyTorch implementation of normalizing flow models
dependent packages 1total releases 10most recent commit 4 months agopypi normflows} Downloads
Iaf ⭐ 442
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
most recent commit 5 years ago
Bayesian Torch ⭐ 396
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 4 months agopypi bayesian-torch} Downloads
Rethinking Numpyro ⭐ 385
Statistical Rethinking (2nd ed.) with NumPyro
most recent commit 10 months ago
Pyvarinf ⭐ 300
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
total releases 2most recent commit 5 years ago
Autoencoding_vi_for_topic_models ⭐ 211
Tensorflow implementation for prodLDA and NVLDA.
most recent commit 3 years ago
Probabilistic Models ⭐ 196
Collection of probabilistic models and inference algorithms
most recent commit 4 years ago
Ddrm ⭐ 148
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
most recent commit 2 years ago
Icml2015_papers ⭐ 143
Links to ICML 2015 papers available on arxiv
most recent commit 9 years ago
Tensorflow Mnist Cvae ⭐ 134
Tensorflow implementation of conditional variational auto-encoder for MNIST
most recent commit 7 years ago
Noisynaturalgradient ⭐ 115
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
most recent commit 6 years ago
Variational Inference With Normalizing Flows ⭐ 106
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
most recent commit 6 years ago
Pyvbmc ⭐ 97
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
most recent commit 7 months ago
Kvae ⭐ 94
Kalman Variational Auto-Encoder
most recent commit 5 years ago
Mxfusion ⭐ 93
Modular Probabilistic Programming on MXNet
total releases 7most recent commit 5 years ago
The 7 Most Depended On Python Variational Inference Open Source Projects
Pymc ⭐ 8,128
Bayesian Modeling and Probabilistic Programming in Python
dependent packages 106total releases 36latest release March 15, 2022most recent commit 6 days agopypi pymc3} Downloads
Pyro ⭐ 8,330
Deep universal probabilistic programming with Python and PyTorch
dependent packages 90total releases 34latest release July 29, 2023most recent commit 9 days agopypi pyro-ppl} Downloads
Gpflow ⭐ 1,783
Gaussian processes in TensorFlow
dependent packages 19total releases 39latest release August 09, 2023most recent commit 3 months 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 9 months agopypi hpfrec} Downloads
Normalizing Flows ⭐ 520
PyTorch implementation of normalizing flow models
dependent packages 1total releases 10latest release November 16, 2023most recent commit 4 months agopypi normflows} Downloads
Bayesian Torch ⭐ 396
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 4 months agopypi bayesian-torch} Downloads
The 10 Latest Releases In Python Variational Inference Open Source Projects
Dibs ⭐ 37
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
total releases 10latest release November 27, 2023most recent commit 5 months ago
Normalizing Flows ⭐ 520
PyTorch implementation of normalizing flow models
dependent packages 1total releases 10latest release November 16, 2023most recent commit 4 months agopypi normflows} Downloads
Avici ⭐ 38
Amortized Inference for Causal Structure Learning, NeurIPS 2022
total releases 5latest release October 23, 2023most recent commit 6 months ago
Scdef ⭐ 11
Deep exponential families for single-cell data.
total releases 14latest release October 04, 2023most recent commit 4 months ago
Gpflow ⭐ 1,783
Gaussian processes in TensorFlow
dependent packages 19total releases 39latest release August 09, 2023most recent commit 3 months agopypi gpflow} Downloads
Pyro ⭐ 8,330
Deep universal probabilistic programming with Python and PyTorch
dependent packages 90total releases 34latest release July 29, 2023most recent commit 9 days 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 9 months agopypi hpfrec} Downloads
Bayesian Torch ⭐ 396
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 4 months agopypi bayesian-torch} Downloads
Viabel ⭐ 34
Efficient, lightweight variational inference and approximation bounds
total releases 7latest release June 07, 2022most recent commit 8 months ago
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