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The Top 356 Variational Inference Open Source Projects

Categories > Machine Learning > Variational Inference
Pyro ⭐ 7,612
Deep universal probabilistic programming with Python and PyTorch
dependent packages 42total releases 30most recent commit a day agopypi pyro-ppl} Downloads
Pymc ⭐ 7,003
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara
dependent packages 95total releases 36most recent commit 6 hours agopypi pymc3} Downloads
Edward ⭐ 4,503
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
dependent packages 2total releases 28most recent commit 3 years agopypi Edward} Downloads
Gpflow ⭐ 1,660
Gaussian processes in TensorFlow
dependent packages 12total releases 28most recent commit 5 hours agopypi gpflow} Downloads
Bayesian Machine Learning ⭐ 1,151
Notebooks about Bayesian methods for machine learning
most recent commit 2 years ago
Variational Autoencoder ⭐ 905
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
most recent commit 10 months ago
Boltzmann Machines ⭐ 792
Boltzmann Machines in TensorFlow with examples
most recent commit a year ago
Pytorch Bayesiancnn ⭐ 757
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
most recent commit 2 years ago
Awesome Normalizing Flows ⭐ 709
Awesome resources on normalizing flows.
most recent commit a month ago
Bayesian Neural Networks ⭐ 554
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
most recent commit 2 years ago
Probreg ⭐ 546
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
dependent packages 1total releases 31most recent commit 14 days agopypi probreg} Downloads
Variational Text Tensorflow ⭐ 537
TensorFlow implementation of Neural Variational Inference for Text Processing
most recent commit 6 years ago
Awesome Vaes ⭐ 448
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
most recent commit a year ago
Iaf ⭐ 442
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
most recent commit 4 years ago
Bayes Nn ⭐ 423
Lecture notes on Bayesian deep learning
most recent commit 5 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 2 years ago
Python Topic Model ⭐ 343
Implementation of various topic models
most recent commit 2 years ago
Rethinking Numpyro ⭐ 331
Statistical Rethinking (2nd ed.) with NumPyro
most recent commit 6 months ago
Deep Generative Models For Natural Language Processing ⭐ 308
DGMs for NLP. A roadmap.
most recent commit 2 months ago
Pyvarinf ⭐ 300
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
total releases 2most recent commit 3 years ago
Vitutorial ⭐ 283
This repository stores slides for a tutorial on variational inference for NLP audiences.
most recent commit 3 years ago
Generative_models_tutorial_with_demo ⭐ 268
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
most recent commit 4 years ago
Good Papers ⭐ 231
I try my best to keep updated cutting-edge knowledge in Machine Learning/Deep Learning and Natural Language Processing. These are my notes on some good papers
most recent commit 3 years ago
Autoencoding_vi_for_topic_models ⭐ 211
Tensorflow implementation for prodLDA and NVLDA.
most recent commit a year ago
Rethinking Tensorflow Probability ⭐ 207
Statistical Rethinking (2nd Ed) with Tensorflow Probability
most recent commit 8 months ago
Variational Ladder Autoencoder ⭐ 198
Implementation of VLAE
most recent commit 5 years ago
Master Thesis Bayesiancnn ⭐ 197
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
most recent commit 3 years ago
Probabilistic Models ⭐ 196
Collection of probabilistic models and inference algorithms
most recent commit 2 years ago
Normalizing Flows ⭐ 191
PyTorch implementation of normalizing flow models
most recent commit 18 days ago
Bcpd ⭐ 175
Bayesian Coherent Point Drift (BCPD/BCPD++)
most recent commit 4 months ago
Vbmc ⭐ 166
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
most recent commit 2 months ago
Mr.lda ⭐ 153
Scalable Topic Modeling using Variational Inference in MapReduce
most recent commit 7 years ago
Icml2015_papers ⭐ 143
Links to ICML 2015 papers available on arxiv
most recent commit 7 years ago
Tensorflow Mnist Cvae ⭐ 134
Tensorflow implementation of conditional variational auto-encoder for MNIST
most recent commit 5 years ago
Celeste.jl ⭐ 124
Scalable inference for a generative model of astronomical images
most recent commit 2 years ago
Gpstuff ⭐ 120
GPstuff - Gaussian process models for Bayesian analysis
most recent commit a year ago
Noisynaturalgradient ⭐ 115
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
most recent commit 4 years ago
Bayesian Torch ⭐ 114
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
total releases 2most recent commit 7 months ago
Ddrm ⭐ 109
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
most recent commit 11 days ago
Normalizing Flows ⭐ 108
Understanding normalizing flows
most recent commit 3 years ago
Variational Inference With Normalizing Flows ⭐ 106
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
most recent commit 4 years ago
Doubly Stochastic Dgp ⭐ 101
Deep Gaussian Processes with Doubly Stochastic Variational Inference
most recent commit 4 years ago
Kvae ⭐ 94
Kalman Variational Auto-Encoder
most recent commit 4 years ago
Ml Readings ⭐ 94
A list of papers / videos / tutorials / blog posts on machine learning
most recent commit 9 months ago
Mxfusion ⭐ 93
Modular Probabilistic Programming on MXNet
total releases 7most recent commit 3 years ago
Probai 2019 ⭐ 89
Materials of the Nordic Probabilistic AI School 2019.
most recent commit 2 years ago
Sqair ⭐ 89
Implementation of Sequential Attend, Infer, Repeat (SQAIR)
most recent commit 3 years ago
Cmdstanr ⭐ 88
CmdStanR: the R interface to CmdStan
most recent commit 20 days ago
Deterministic Variational Inference ⭐ 85
Sample code for running deterministic variational inference to train Bayesian neural networks
most recent commit 4 years ago
Gelato ⭐ 85
Bayesian dessert for Lasagne
most recent commit 5 years ago
Sequential Variational Autoencoder ⭐ 71
Implementation of Sequential Variational Autoencoder
most recent commit 5 years ago
Hpfrec ⭐ 70
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
dependent packages 1total releases 51most recent commit 4 months agopypi hpfrec} Downloads
Infvoclda ⭐ 67
Online Latent Dirichlet Allocation with Infinite Vocabulary using Variational Inference
most recent commit 7 years ago
Implicit Variational Inference ⭐ 67
The collection of recent papers about variational inference
most recent commit 3 years ago
Svinet ⭐ 65
This package implements algorithms for identifying overlapping communities in large undirected networks. The sampling based algorithms derive from stochastic variational inference under the (assortative) mixed-membership stochastic blockmodel. For details see the following reference: http://www.pnas.org/content/early/2013/08/14/12218
most recent commit 3 years ago
Inverse_rl ⭐ 63
Adversarial Imitation Via Variational Inverse Reinforcement Learning
most recent commit 3 years ago
Reactivemp.jl ⭐ 61
Julia package for automatic Bayesian inference on a factor graph with reactive message passing
most recent commit 3 days ago
Generalized Pixelvae ⭐ 61
PixelVAE with or without regularization
most recent commit 5 years ago
Noisynaturalgradient ⭐ 56
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"
most recent commit 4 years ago
Bayesbyhypernet ⭐ 55
Code for the paper Implicit Weight Uncertainty in Neural Networks
most recent commit 3 years ago
Tf Var Attention ⭐ 55
Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)
most recent commit 2 years ago
Dun ⭐ 52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
most recent commit a year ago
Pysvihmm ⭐ 51
Implementation of stochastic variational inference for Bayesian hidden Markov models.
most recent commit 5 years ago
Topic Rnn ⭐ 47
Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.
most recent commit 4 years ago
Bayesian Deep Learning Notes ⭐ 47
A list of notes on Bayesian deep learning papers
most recent commit 4 years ago
Iodine ⭐ 46
PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
most recent commit 23 days ago
Vib Pytorch ⭐ 46
Pytorch implementation of Deep Variational Information Bottleneck
most recent commit 5 years ago
Ai_learning_hub ⭐ 45
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
most recent commit 2 years ago
Pylda ⭐ 44
A Latent Dirichlet Allocation implementation in Python.
most recent commit 4 years ago
Rss ⭐ 42
Regression with Summary Statistics.
most recent commit a month ago
Probai 2021 Pyro ⭐ 42
Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
most recent commit a year ago
Wae Rnf Lm ⭐ 40
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
most recent commit 2 years ago
Sivi ⭐ 39
Use neural network to construct expressive hierarchical distribution; Optimizing a novel bound with theoretical guarantees; A fast and robust method with accurate uncertainty estimation. (ICML 2018)
most recent commit 2 years ago
Vi Hds ⭐ 38
Variational inference for hierarchical dynamical systems
most recent commit a year ago
Artificial_neural_networks ⭐ 35
A collection of Methods and Models for various architectures of Artificial Neural Networks
most recent commit 2 years ago
Mvae ⭐ 33
Mixed-curvature Variational Autoencoders (ICLR 2020)
most recent commit 2 years ago
Vindsl.jl ⭐ 32
A fast and furious domain-specific language for variational inference in Julia.
most recent commit 6 years ago
Brancher ⭐ 31
A python library for stochastic variational inference and differentiable probabilistic programming
total releases 5most recent commit 3 years ago
Ladder Vae Pytorch ⭐ 31
Ladder Variational Autoencoders (LVAE) in PyTorch
most recent commit 2 years ago
Vae Style Transfer ⭐ 30
An experiment in VAE-based artistic style transfer by embedding fiddling.
most recent commit 4 years ago
Gmm ⭐ 30
Variational Inference in Gaussian Mixture Model
most recent commit 2 years ago
Vireo ⭐ 29
Demultiplexing pooled scRNA-seq data with or without genotype reference
total releases 20most recent commit 5 months ago
Viabel ⭐ 28
Efficient, lightweight variational inference and approximation bounds
most recent commit 17 days ago
Deep Active Inference Mc ⭐ 28
Deep active inference agents using Monte-Carlo methods
most recent commit a year ago
Bayes_nn ⭐ 27
Uncertainty interpretations of the neural network
most recent commit 4 years ago
Viforsdes ⭐ 25
A variational method for fast, approximate inference for stochastic differential equations.
most recent commit 4 years ago
Vgrnn ⭐ 24
Variational Graph Recurrent Neural Networks - PyTorch
most recent commit 2 years ago
Autogp ⭐ 24
Code for AutoGP
most recent commit 3 years ago
Vcd_divergence ⭐ 23
Code to minimize the Variational Contrastive Divergence (VCD)
most recent commit 3 years ago
Vinf ⭐ 23
Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
most recent commit 2 years ago
Pt Avitm ⭐ 23
PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
most recent commit 2 years ago
Neural Net Matrix Factorization ⭐ 22
Exploring neural networks (and variational inference) for collaborative filtering
most recent commit 4 years ago
Lagvae ⭐ 22
Lagrangian VAE
most recent commit 4 years ago
Spatio Temporal Gps ⭐ 22
Code for NeurIPS 2021 paper 'Spatio-Temporal Variational Gaussian Processes'
most recent commit 10 months ago
Gradient Boosted Normalizing Flows ⭐ 21
We got a stew going!
most recent commit 3 months ago
Selsum ⭐ 21
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
most recent commit 10 months ago
Lgamma ⭐ 21
Implementations of polygamma, lgamma, and beta functions for PyTorch
most recent commit 5 years ago
Simplelda R ⭐ 21
a simple R implementation of variational inference for LDA
most recent commit 9 years ago
Causalskilllearning ⭐ 21
Codebase for project about unsupervised skill learning via variational inference and causality.
most recent commit a year ago
Autoreparam ⭐ 20
Automatic Reparameterisation of Probabilistic Programs
most recent commit 2 years ago
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