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Top 65 variational-inference open source projects

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

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deep-learning machine-learning computer-vision neural-network natural-language-processing representation-learning semi-supervised-learning convolutional-networks neural-machine-translation gaussian-processes variational-inference

Rethinking Numpyro

Statistical Rethinking (2nd ed.) with NumPyro

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python jupyter-notebook numpy bayesian-statistics variational-inference

Probabilistic Models

Collection of probabilistic models and inference algorithms

✭ 217

python machine-learning bayesian-inference bayesian mcmc variational-inference

Awesome Normalizing Flows

A list of awesome resources on normalizing flows.

✭ 203

machine-learning variational-inference

Variational Ladder Autoencoder

Implementation of VLAE

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python unsupervised-learning generative-model representation-learning feature-extraction variational-inference

Deep Generative Models For Natural Language Processing

DGMs for NLP. A roadmap.

✭ 185

natural-language-processing parsing generative-model text-generation mcmc generative-adversarial-networks variational-inference

Rethinking Tensorflow Probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

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jupyter-notebook tensorflow tutorials bayesian-inference bayesian-statistics variational-inference

Variational Inference With Normalizing Flows

Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)

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python machine-learning pytorch variational-inference

Celeste.jl

Scalable inference for a generative model of astronomical images

✭ 142

jupyter-notebook bayesian-inference astronomy variational-inference

Tensorflow Mnist Cvae

Tensorflow implementation of conditional variational auto-encoder for MNIST

✭ 139

python tensorflow autoencoder mnist vae variational-autoencoder variational-inference

Normalizing Flows

Understanding normalizing flows

✭ 126

jupyter-notebook deep-learning variational-autoencoder variational-inference

Vbmc

Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB

✭ 123

matlab machine-learning data-analysis bayesian-inference gaussian-processes variational-inference

Bayes By Backprop

PyTorch implementation of "Weight Uncertainty in Neural Networks"

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jupyter-notebook pytorch variational-inference

Bcpd

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

✭ 116

c unsupervised-learning point-cloud bayesian-inference gaussian-processes bayesian-statistics variational-inference matching

Kvae

Kalman Variational Auto-Encoder

✭ 115

python deep-learning neural-network variational-autoencoder kalman-filter variational-inference

Gpstuff

GPstuff - Gaussian process models for Bayesian analysis

✭ 106

matlab classification regression bayesian-inference bayesian gaussian-processes mcmc variational-inference spatial-analysis bayesian-optimization octave

Gpflow

Gaussian processes in TensorFlow

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python Makefile deep-learning machine-learning tensorflow ml gaussian-processes bayesian-statistics variational-inference markov-chain-monte-carlo stochastic-processes gp gpflow

Mxfusion

Modular Probabilistic Programming on MXNet

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python machine-learning mxnet bayesian-inference variational-inference

Inverse rl

Adversarial Imitation Via Variational Inverse Reinforcement Learning

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python variational-inference imitation-learning adversarial-networks

Deepbayes 2018

Seminars DeepBayes Summer School 2018

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jupyter-notebook deep-learning bayesian variational-inference

Rnn Vae

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

✭ 39

python recurrent-neural-networks autoencoder image-generation draw variational-inference

Gp Infer Net

Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019

✭ 37

python gaussian-processes variational-inference

Pyro

Deep universal probabilistic programming with Python and PyTorch

✭ 7,224

python C++Makefile shell TeX Dockerfile machine-learning pytorch bayesian-inference bayesian variational-inference deep-learning probabilistic-modeling

Variational gradient matching for dynamical systems

Sample code for the NIPS paper "Scalable Variational Inference for Dynamical Systems"

✭ 22

jupyter-notebook inference variational-inference scalable

Bayesian Neural Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

✭ 900

jupyter-notebook deep-learning pytorch classification regression bayesian-inference reproducible-research mcmc variational-inference

Variational Autoencoder

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

✭ 807

python deep-learning machine-learning pytorch tensorflow deep-neural-networks learning unsupervised-learning vae variational-autoencoder variational-inference deep

Pytorch Bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

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python pytorch convolutional-neural-networks bayesian-inference image-recognition bayesian-statistics variational-inference

Boltzmann Machines

Boltzmann Machines in TensorFlow with examples

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jupyter-notebook deep-learning machine-learning tensorflow keras tensorflow-models mcmc variational-inference

Pymc3

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

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python bayesian-inference mcmc variational-inference statistical-analysis hacktoberfest aesara

Bayes Nn

Lecture notes on Bayesian deep learning

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deep-learning variational-inference

Probabilistic unet

A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.

✭ 427

jupyter-notebook semantic-segmentation variational-inference

Awesome Vaes

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

✭ 418

deep-learning awesome-list unsupervised-learning generative-model representation-learning vae variational-autoencoder variational-inference

Probreg

Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

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python 3d point-cloud registration variational-inference

Generative models tutorial with demo

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..

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jupyter-notebook tutorial generative-adversarial-network generative-model gans dcgan variational-autoencoder tutorial-code cyclegan variational-inference

autoreparam

Automatic Reparameterisation of Probabilistic Programs

✭ 29

python papers mcmc variational-inference

viabel

Efficient, lightweight variational inference and approximation bounds

✭ 27

python Makefile bayesian-inference variational-inference

ladder-vae-pytorch

Ladder Variational Autoencoders (LVAE) in PyTorch