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Search results for python variational inference
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variational-inference
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125 search results found
So Vits Svc
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20,615
SoftVC VITS Singing Voice Conversion
Pyro
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8,330
Deep universal probabilistic programming with Python and PyTorch
Pymc
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8,128
Bayesian Modeling and Probabilistic Programming in Python
Gpflow
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1,783
Gaussian processes in TensorFlow
Awesome Normalizing Flows
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1,232
Awesome resources on normalizing flows.
Pytorch Bayesiancnn
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1,181
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Probreg
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670
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Variational Text Tensorflow
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537
TensorFlow implementation of Neural Variational Inference for Text Processing
Normalizing Flows
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520
PyTorch implementation of normalizing flow models
Iaf
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442
Code for reproducing key results in the paper "Improving Variational Inference with Inverse Autoregressive Flow"
Bayesian Torch
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396
A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch
Rethinking Numpyro
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385
Statistical Rethinking (2nd ed.) with NumPyro
Pyvarinf
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300
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Autoencoding_vi_for_topic_models
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211
Tensorflow implementation for prodLDA and NVLDA.
Probabilistic Models
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196
Collection of probabilistic models and inference algorithms
Ddrm
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148
[NeurIPS 2022] Denoising Diffusion Restoration Models -- Official Code Repository
Icml2015_papers
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143
Links to ICML 2015 papers available on arxiv
Tensorflow Mnist Cvae
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134
Tensorflow implementation of conditional variational auto-encoder for MNIST
Noisynaturalgradient
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115
Pytorch Implementation of paper "Noisy Natural Gradient as Variational Inference"
Variational Inference With Normalizing Flows
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106
Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)
Pyvbmc
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97
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Kvae
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94
Kalman Variational Auto-Encoder
Mxfusion
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93
Modular Probabilistic Programming on MXNet
Gelato
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85
Bayesian dessert for Lasagne
Hpfrec
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76
Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
Infvoclda
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67
Online Latent Dirichlet Allocation with Infinite Vocabulary using Variational Inference
Inverse_rl
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63
Adversarial Imitation Via Variational Inverse Reinforcement Learning
Noisynaturalgradient
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56
TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC"
Tf Var Attention
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55
Tensorflow Implementation of Variational Attention for Sequence to Sequence Models (COLING 2018)
Pysvihmm
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51
Implementation of stochastic variational inference for Bayesian hidden Markov models.
Topic Rnn
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47
Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.
Vib Pytorch
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46
Pytorch implementation of Deep Variational Information Bottleneck
Iodine
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46
PyTorch re-implementation of Multi-Object Representation Learning with Iterative Variational Inference
Move
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44
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
Pylda
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44
A Latent Dirichlet Allocation implementation in Python.
Vi Hds
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43
Variational inference for hierarchical dynamical systems
Avuc
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40
Code to accompany the paper 'Improving model calibration with accuracy versus uncertainty optimization'.
Wae Rnf Lm
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40
Pytorch Implemetation for our NAACL2019 Paper "Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling" https://arxiv.org/abs/1904.02399
Avici
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38
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Dibs
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37
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Artificial_neural_networks
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35
A collection of Methods and Models for various architectures of Artificial Neural Networks
Viabel
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34
Efficient, lightweight variational inference and approximation bounds
Mvae
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33
Mixed-curvature Variational Autoencoders (ICLR 2020)
Brancher
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31
A python library for stochastic variational inference and differentiable probabilistic programming
Ladder Vae Pytorch
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31
Ladder Variational Autoencoders (LVAE) in PyTorch
Vae Style Transfer
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30
An experiment in VAE-based artistic style transfer by embedding fiddling.
Gmm
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30
Variational Inference in Gaussian Mixture Model
Deep Active Inference Mc
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28
Deep active inference agents using Monte-Carlo methods
Bayes_nn
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27
Uncertainty interpretations of the neural network
Viforsdes
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25
A variational method for fast, approximate inference for stochastic differential equations.
Autogp
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24
Code for AutoGP
Vgrnn
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24
Variational Graph Recurrent Neural Networks - PyTorch
Vinf
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23
Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen
Pt Avitm
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23
PyTorch implementation of AVITM (Autoencoding Variational Inference For Topic Models)
Lagvae
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22
Lagrangian VAE
Neural Net Matrix Factorization
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22
Exploring neural networks (and variational inference) for collaborative filtering
Causalskilllearning
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21
Codebase for project about unsupervised skill learning via variational inference and causality.
Selsum
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21
Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.
Phylostan
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21
Phylogenetic inference using Stan
Gradient Boosted Normalizing Flows
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21
We got a stew going!
Emssl
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21
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Susiepca
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20
Scalable Ultra-Sparse Bayesian PCA
Noisy K Fac
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20
Natural Gradient, Variational Inference
Autoreparam
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20
Automatic Reparameterisation of Probabilistic Programs
Mongeampereflow
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20
Continuous-time gradient flow for generative modeling and variational inference
Deep_variational_information_bottleneck
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20
Tensorflow implementation of deep variational information bottleneck
Graphbtm
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19
Code for paper "GraphBTM: Graph Enhanced Autoencoded Variational Inference for Biterm Topic Model". Under preparation.
Graph Generation Vi
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19
This repository contains PyTorch implementation of the following paper: "Order Matters: Probabilistic Modeling of Node Sequence for Graph Generation"
Vimco
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18
Implementation of "Variational Inference for Monte Carlo Objectives"
Trident
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18
Official repository for the paper TRIDENT: Transductive Decoupled Variational Inference for Few Shot Classification
Trlda
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17
Implementations of various online inference algorithms for LDA, with Python interface.
Iaf Vae
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17
Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
Generalised Gaussian Processes
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17
Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
Adaptive F Divergence
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16
A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"
Microbiome Mvib
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16
Microbiome-based disease prediction with multimodal variational information bottlenecks, Grazioli et al., PLOS Computational Biology 2022
Dpmm
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16
Variational inference for Dirichlet process mixture models with multinomial mixture components.
Hyposvi
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15
Hypocentral earthquake location using Stein-variational gradient descent and deep neural network travel-time formulations
Varinf
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14
Examples for variational inference
Dvae_se
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14
Unsupervised speech enhancement using DVAEs
Zhusuan Pytorch
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14
An Elegant Library for Bayesian Deep Learning in PyTorch
Variational Zoo
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14
Variational inference and disentangled representations through unsupervised learning
Prosper
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14
A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions
Torch Reparametrised Mixture Distribution
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14
PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.
Stein Variational Samplers
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14
Python and MATLAB code for Stein Variational sampling methods
Stochasticlda
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13
Python implementation of Stochastic Variational Inference for LDA
Bayeseg
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13
The official implementation of "Joint Modeling of Image and Label Statistics for Enhancing Model Generalizability of Medical Image Segmentation" via Pytorch
Ouijaflow
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13
Probabilistic single-cell pseudotime with Edward+Tensorflow
Mimo
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13
A toolbox for inference of mixture models
Cikm18 Lcva
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12
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
Vistan
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12
A simple library to run variational inference on Stan models.
Cifar 10 Uncertainty
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12
Variational Diffusion Models
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11
PyTorch implementation of Variational Diffusion Models.
Gpjax
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11
Minimal Gaussian process library in JAX with a simple (custom) approach to state management.
Vimure
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11
Variational Inference for Multiply-Reported social network data https://doi.org/10.1093/jrsssa/qnac004
Sentencemim Demo
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11
This repo contains code to reproduce some of the results presented in the paper "SentenceMIM: A Latent Variable Language Model"
Neural Variational Inference
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11
Neural variational inference and learning in undirected graphical models http://www.stanford.edu/~kuleshov/papers/nips2017.
Sushie
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11
Software to perform multi-ancestry SNP fine-mapping on molecular data
Binary Vae
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11
A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
Scdef
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11
Deep exponential families for single-cell data.
Gmm Em Vb
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10
This repository is for sharing the scripts of EM algorithm and variational bayes.
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