Ecosyste.ms: Repos

An open API service providing repository metadata for many open source software ecosystems.

GitHub topics: variational-inference

Repositories

sophiewharrie/meta-learning-hierarchical-model-similar-causal-mechanisms

Code for the research paper Meta-learning with hierarchical models based on similarity of causal mechanisms

Language: Python - Size: 6.39 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

abdoush/SurVED

The Concordance Index Decomposition

Language: Python - Size: 957 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

seraphlabs-ca/MIM

Code for "MIM: Mutual Information Machine" paper.

Language: Python - Size: 148 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 16 - Forks: 1

saurabhmathur96/variational-collaborative-filtering

Implementation of Variational Bayesian Approach to Movie Rating Prediction

Language: Python - Size: 941 KB - Last synced: 4 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 1

saurabhmathur96/correlated-topic-model

An implementation of a topic model with logistic normal prior, as described by Blei and Lafferty (2007)

Language: Python - Size: 269 KB - Last synced: 4 months ago - Pushed: about 4 years ago - Stars: 1 - Forks: 2

saurabhmathur96/bayes-logistic-regression

Bayesian inference on logistic regression model

Language: Python - Size: 38.1 KB - Last synced: 4 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

desResLab/LINFA

A Python library for inference with normalizing flow and annealing

Language: Jupyter Notebook - Size: 5.59 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 12 - Forks: 1

ksachdeva/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Language: Jupyter Notebook - Size: 321 MB - Last synced: 3 months ago - Pushed: over 2 years ago - Stars: 268 - Forks: 47

vsimkus/torch-reparametrised-mixture-distribution

PyTorch implementation of the mixture distribution family with implicit reparametrisation gradients.

Language: Python - Size: 16.6 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 14 - Forks: 0

acerbilab/vbmc

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

Language: MATLAB - Size: 24.6 MB - Last synced: 3 months ago - Pushed: about 1 year ago - Stars: 201 - Forks: 37

SHI-Yu-Zhe/generative-modeling-explained

Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.

Size: 992 KB - Last synced: 1 day ago - Pushed: over 1 year ago - Stars: 43 - Forks: 7

inuyasha2012/vipsy

变分推断在教育测量模型中的应用（项目反应理论，认知诊断模型） variational inference for psychometrics model (item response theoy, cognitive diagnosis models)

Language: Python - Size: 81.1 KB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 17 - Forks: 5

konstantinos-p/Bayesian-Neural-Networks-Reading-List

A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"

Size: 82 KB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 29 - Forks: 2

biomedia-mira/demystifying-diffusion

Language: TeX - Size: 4.2 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 4 - Forks: 0

rpatrik96/ima-vae

This is the code for the paper Embrace the Gap: VAEs perform Independent Mechanism Analysis, showing that optimizing the ELBO is equivalent to optimizing the IMA-regularized log-likelihood under certain assumptions (e.g., small decoder variance).

Language: Jupyter Notebook - Size: 7.37 MB - Last synced: 4 months ago - Pushed: 11 months ago - Stars: 21 - Forks: 0

lipovec-t/vi-gaussian-dpm

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

Language: Python - Size: 1.72 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

souheib1/Deep-Latent-Variable-Models-exact-conditional-likelihood

Missing data imputation using the exact conditional likelihood of DLVM

Language: Python - Size: 84.5 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

wataruhashimoto52/svgd_tf

Implementation of Stein Variational Gradient Descent with TensorFlow 2.0

Language: Python - Size: 13.7 KB - Last synced: 28 days ago - Pushed: over 4 years ago - Stars: 8 - Forks: 0

Piyush-555/VCL-in-PyTorch

PyTorch implementation of Variational Continual Learning

Language: Python - Size: 819 KB - Last synced: 4 months ago - Pushed: almost 3 years ago - Stars: 6 - Forks: 1

juyeon999/OEDPM

Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"

Language: Python - Size: 729 KB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 1 - Forks: 0

deep-spin/sparse-marginalization-lvm

Official PyTorch (Lightning) implementation of the NeurIPS 2020 paper "Efficient Marginalization of Discrete and Structured Latent Variables via Sparsity".

Language: Python - Size: 530 KB - Last synced: 7 days ago - Pushed: about 3 years ago - Stars: 27 - Forks: 8

thjashin/gp-infer-net

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

Language: Python - Size: 8.98 MB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 41 - Forks: 4

mgorinova/autoreparam

Automatic Reparameterisation of Probabilistic Programs

Language: Python - Size: 623 KB - Last synced: about 1 month ago - Pushed: almost 4 years ago - Stars: 36 - Forks: 3

ermongroup/lagvae

Lagrangian VAE

Language: Python - Size: 58.6 KB - Last synced: 28 days ago - Pushed: almost 6 years ago - Stars: 28 - Forks: 5

citiususc/voila

Variational Inference for Langevin Equations

Language: R - Size: 1.26 MB - Last synced: about 1 month ago - Pushed: over 6 years ago - Stars: 20 - Forks: 3

ermongroup/Generalized-PixelVAE Fork of openai/pixel-cnn

PixelVAE with or without regularization

Language: Python - Size: 988 KB - Last synced: 3 days ago - Pushed: almost 7 years ago - Stars: 66 - Forks: 11

ferrine/gelato

Bayesian dessert for Lasagne

Language: Python - Size: 346 KB - Last synced: 2 months ago - Pushed: almost 7 years ago - Stars: 84 - Forks: 4

lucadellalib/bayestorch

Lightweight Bayesian deep learning library for fast prototyping based on PyTorch

Language: Python - Size: 104 KB - Last synced: 16 days ago - Pushed: about 1 year ago - Stars: 8 - Forks: 0

vsimkus/pmr2024-vae

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

Language: Jupyter Notebook - Size: 5.42 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 8 - Forks: 2

SUwonglab/rss-net

Regression with Summary Statistics exploiting Network Topology.

Language: R - Size: 251 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 15 - Forks: 4

addtt/attend-infer-repeat-pytorch

Attend Infer Repeat (AIR) in PyTorch

Language: Python - Size: 19 MB - Last synced: 17 days ago - Pushed: 17 days ago - Stars: 20 - Forks: 3

hruffieux/locus

locus R package - Large-scale variational inference for variable selection in sparse multiple-response regression

Language: R - Size: 1.03 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 9 - Forks: 2

aidanscannell/GPJax 📦

Minimal Gaussian process library in JAX with a simple (custom) approach to state management.

Language: Python - Size: 882 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 11 - Forks: 0

yjlolo/pytorch-deep-markov-model

PyTorch re-implementation of [Structured Inference Networks for Nonlinear State Space Models, AAAI 17]

Language: Python - Size: 223 KB - Last synced: 26 days ago - Pushed: about 3 years ago - Stars: 21 - Forks: 1

beginaid/GMM-EM-VB

This repository is for sharing the scripts of EM algorithm and variational bayes.

Language: Python - Size: 116 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 10 - Forks: 1

LukasMut/VICE

Variational Interpretable Concept Embeddings

Language: Python - Size: 29.7 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 10 - Forks: 4

AB20CS/Missing-Data-Project

An evaluation of the suboptimality of various imputation methods when applied to handle various mechanisms of missingness

Language: Python - Size: 97.7 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

guxiaosi/Variational-Bayes

Variational Bayes, Natural Gradient, Reparameterization Trick, Conjugate Gradient, Quasi-Newton Gradient, Belief propagation, AMP

Language: Jupyter Notebook - Size: 44.8 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

robert-giaquinto/gradient-boosted-normalizing-flows

We got a stew going!

Language: Python - Size: 54.4 MB - Last synced: 2 months ago - Pushed: 8 months ago - Stars: 27 - Forks: 3

FedericoVasile1/bayesian-cnn

Comparison of a network implemented via Variational Inference with the same network implemented via Monte Carlo Dropout

Language: Jupyter Notebook - Size: 49.3 MB - Last synced: about 1 month ago - Pushed: about 3 years ago - Stars: 2 - Forks: 1

ibarrond/VariationalAutoencoders

Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.

Language: Jupyter Notebook - Size: 1.71 GB - Last synced: 2 months ago - Pushed: over 6 years ago - Stars: 26 - Forks: 16

dirmeier/dmvi

Diffusion models for probabilistic programming

Language: Jupyter Notebook - Size: 1.13 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

4ment/phylostan

Phylogenetic inference using Stan

Language: Python - Size: 13.3 MB - Last synced: about 2 months ago - Pushed: 7 months ago - Stars: 22 - Forks: 5

yvesantonio/Data_Assimilation

Advanced Data Assimilation Algorithms and Methods

Language: MATLAB - Size: 1.04 MB - Last synced: 4 months ago - Pushed: about 3 years ago - Stars: 3 - Forks: 1

jswu18/gvi-gaussian-process

Generalised Variational Inference (GVI) for Gaussian Processes in JAX

Language: Python - Size: 175 MB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 2 - Forks: 0

XiaoyuBIE1994/DVAE_SE

Unsupervised speech enhancement using DVAEs

Language: Python - Size: 18.1 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 14 - Forks: 3

Tom-Ryder/VIforSDEs

A variational method for fast, approximate inference for stochastic differential equations.

Language: Python - Size: 1.54 MB - Last synced: 2 months ago - Pushed: about 6 years ago - Stars: 42 - Forks: 11

mkomod/survival.svb

Variational Bayes for High-Dimensional Survival Analysis https://arxiv.org/abs/2112.10270

Language: C++ - Size: 189 KB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 5 - Forks: 1

Madhav-Kanda/AutoDiff-Inference

AutoDiff-Inference: Automatic Differentiation Inference. This Repository combines ADVI's change of variable power with Laplace Approximation to provide better inference for constrained parameters. Work done as a part of development of Bijax

Language: Jupyter Notebook - Size: 657 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 1 - Forks: 0

ex4sperans/variational-inference-with-normalizing-flows

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

Language: Python - Size: 244 KB - Last synced: 6 months ago - Pushed: over 5 years ago - Stars: 206 - Forks: 38

ohirose/bcpd

Bayesian Coherent Point Drift (BCPD/BCPD++/GBCPD/GBCPD++)

Language: C - Size: 14.4 MB - Last synced: 6 months ago - Pushed: about 1 year ago - Stars: 252 - Forks: 36

hwalsuklee/tensorflow-mnist-CVAE

Tensorflow implementation of conditional variational auto-encoder for MNIST

Language: Python - Size: 590 KB - Last synced: 6 months ago - Pushed: about 7 years ago - Stars: 147 - Forks: 42

wiseodd/probabilistic-models

Collection of probabilistic models and inference algorithms

Language: Python - Size: 26.4 KB - Last synced: 6 months ago - Pushed: about 4 years ago - Stars: 241 - Forks: 77

gabrielecastellano/early-exit-distillation Fork of yoshitomo-matsubara/head-network-distillation

Early Classification in Split Computing with Regularized Bottlenecks

Language: Jupyter Notebook - Size: 4.71 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 2 - Forks: 0

VahidHeidari/StrBEAM

Population Structured Bayesian Epistasis Association Mapping

Language: Python - Size: 651 KB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

sungyubkim/DVIB

A pytorch implementation of DVIB(Deep Variational Information Bottleneck)

Language: Jupyter Notebook - Size: 11.2 MB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 5 - Forks: 1

dangitstam/topic-rnn 📦

Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid.

Language: Python - Size: 1.06 MB - Last synced: 7 months ago - Pushed: about 5 years ago - Stars: 52 - Forks: 10

kgkeklikci/Normalizing-Flows

Language: Jupyter Notebook - Size: 10 MB - Last synced: 7 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0

ahq1993/inverse_rl

Adversarial Imitation Via Variational Inverse Reinforcement Learning

Language: Python - Size: 53.7 KB - Last synced: 7 months ago - Pushed: over 4 years ago - Stars: 90 - Forks: 11

gleday/ShrinkNet

Gene network reconstruction using global-local shrinkage priors

Language: C++ - Size: 11.7 MB - Last synced: 7 months ago - Pushed: about 6 years ago - Stars: 4 - Forks: 0

dilinwang820/adaptive-f-divergence

A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"

Language: Python - Size: 563 KB - Last synced: 7 months ago - Pushed: over 5 years ago - Stars: 20 - Forks: 3

inurutdinov/eaa

A Generative Probabilistic Model for NLP

Language: Python - Size: 149 MB - Last synced: 7 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 7

fandulu/SsVGMM

A semi-supervised variational Gaussian mixture model

Language: MATLAB - Size: 8.65 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 6 - Forks: 3

GiovanniPasserello/SHGP

Sparse Heteroscedastic Gaussian Processes

Language: Python - Size: 4.75 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 3 - Forks: 1

EhtashamBillah/Acute-Lymphoblastic-Leukemia-cell-classification-using-Bayesian-Convolutional-Neural-Networks

In this project, we deploy the Bayesian Convolution Neural Networks (BCNN), proposed by Gal and Ghahramani [2015] to classify microscopic images of blood samples (lymphocyte cells). The data contains 260 microscopic images of cancerous and non-cancerous lymphocyte cells. We experiment with different network structures to obtain the model that return lowest error rate in classifying the images. We estimate the uncertainty for the predictions made by the models which in turn can assist a doctor in better decision making. The Stochastic Regularization Technique (SRT), popularly known as Dropout is utilized in the BCNN structure to obtain the Bayesian interpretation.

Language: R - Size: 138 KB - Last synced: 7 months ago - Pushed: over 4 years ago - Stars: 4 - Forks: 4

andreaskapou/Melissa

Bayesian Clustering and Imputation of Single Cell Methylomes

Language: R - Size: 5.22 MB - Last synced: 3 months ago - Pushed: almost 4 years ago - Stars: 13 - Forks: 7

ebonilla/VGCN

Variational Graph Convolutional Networks

Language: Python - Size: 13.1 MB - Last synced: 29 days ago - Pushed: over 3 years ago - Stars: 20 - Forks: 3

probcomp/GenPyTorch.jl

Gen plugin to allow PyTorch computations to be used as Gen generative functions.

Language: Julia - Size: 41 KB - Last synced: 19 days ago - Pushed: about 4 years ago - Stars: 5 - Forks: 1

vr308/Generalised-Gaussian-Processes

Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods

Language: Python - Size: 1.36 MB - Last synced: 26 days ago - Pushed: 8 months ago - Stars: 18 - Forks: 1

sob-ANN/Projects

Project Portfolio

Language: Jupyter Notebook - Size: 10.6 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 1 - Forks: 0

andrewwijaya/CS5099-julia-bnn

Bayesian Neural Networks implemented in Julia using variational inference and Hamiltonian Monte Carlo sampling.

Language: Jupyter Notebook - Size: 208 MB - Last synced: 7 months ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 1

1Konny/VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

Language: Python - Size: 77.1 KB - Last synced: 7 months ago - Pushed: about 6 years ago - Stars: 147 - Forks: 22

emanuelealiverti/svilf

Stratified stochastic variational inference for network factor models

Language: C++ - Size: 4.28 MB - Last synced: 8 months ago - Pushed: about 2 years ago - Stars: 2 - Forks: 1

zhihanyang2022/gradient-gmm

Fitting finite mixture of full-rank Gaussians for density estimation & variational inference in PyTorch.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

ivonajdenkoska/variational-xray-report-gen

Official code repository for "Variational Topic Inference for Chest X-Ray Report Generation" (Oral at MICCAI 2021).

Language: Python - Size: 1.54 MB - Last synced: 7 months ago - Pushed: about 2 years ago - Stars: 17 - Forks: 4

zfountas/deep-active-inference-mc

Deep active inference agents using Monte-Carlo methods

Language: Python - Size: 12.4 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 59 - Forks: 11

simonkamronn/kvae

Kalman Variational Auto-Encoder

Language: Python - Size: 384 KB - Last synced: 6 months ago - Pushed: over 5 years ago - Stars: 130 - Forks: 34

seraphlabs-ca/SentenceMIM-demo

This repo contains code to reproduce some of the results presented in the paper "SentenceMIM: A Latent Variable Language Model"

Language: Python - Size: 2.08 MB - Last synced: 8 months ago - Pushed: almost 2 years ago - Stars: 29 - Forks: 4

gutmanngroup/VNCE Fork of benrhodes26/VNCE

Python code for the paper "Variational Noise-Contrastive Estimation", AISTATS 2019, http://proceedings.mlr.press/v89/rhodes19a/rhodes19a.pdf

Size: 79.8 MB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

rguo12/CIKM18-LCVA

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

Language: Python - Size: 47.8 MB - Last synced: 2 months ago - Pushed: over 1 year ago - Stars: 14 - Forks: 5

nitarshan/bayes-by-backprop 📦

PyTorch implementation of "Weight Uncertainty in Neural Networks"

Language: Jupyter Notebook - Size: 68.4 KB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 157 - Forks: 47

Related Keywords

variational-inference 383 bayesian-inference 98 machine-learning 80 variational-autoencoder 71 deep-learning 64 pytorch 54 python 40 gaussian-processes 35 tensorflow 31 generative-model 30 mcmc 28 bayesian-neural-networks 24 vae 24 probabilistic-programming 18 bayesian-deep-learning 15 variational-bayes 14 normalizing-flows 14 unsupervised-learning 12 bayesian-statistics 11 markov-chain-monte-carlo 11 variational-autoencoders 11 neural-network 11 bayesian 11 natural-language-processing 11 jax 10 bayesian-methods 10 gaussian-mixture-models 10 generative-adversarial-network 9 topic-modeling 9 tensorflow-probability 9 causal-inference 9 clustering 9 approximate-inference 9 latent-variable-models 9 data-science 9 mnist 8 representation-learning 8 python3 8 probabilistic-graphical-models 8 graphical-models 8 inference 8 keras 7 regression 7 em-algorithm 7 phylogenetics 7 autoencoder 7 bayes-by-backprop 7 density-estimation 7 gibbs-sampling 7 deep-neural-networks 7 machine-learning-algorithms 6 nlp 6 information-bottleneck 6 probabilistic-models 6 hmc 6 tensorflow2 6 reinforcement-learning 6 uncertainty-quantification 6 empirical-bayes 6 classification 6 graph-neural-networks 5 matlab 5 uncertainty-neural-networks 5 uncertainty 5 expectation-maximization 5 bayes 5 pyro 5 generative-models 5 matrix-factorization 5 monte-carlo-dropout 5 gumbel-softmax 5 sampling 5 bayesian-optimization 5 expectation-propagation 5 artificial-intelligence 5 ai 4 r 4 r-package 4 elbo 4 data-analysis 4 mixture-model 4 semi-supervised-learning 4 signal-processing 4 laplace-approximation 4 convolutional-neural-networks 4 pytorch-implementation 4 neural-networks 4 probabilistic-machine-learning 4 gwas 4 computer-vision 4 variable-selection 4 kalman-filter 4 pymc3 4 latent-dirichlet-allocation 4 language-model 4 stochastic-differential-equations 4 statistics 4 gwas-summary-statistics 4 stein-variational-gradient-decent 4 disentangled-representations 4