GitHub topics: variational-inference
ReactiveBayes/RxInferExamples.jl
This repository contains examples for RxInfer.jl
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VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
Language: Python - Size: 7.44 MB - Last synced at: 2 days ago - Pushed at: 10 months ago - Stars: 844 - Forks: 126
pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
Language: Python - Size: 93.5 MB - Last synced at: 2 days ago - Pushed at: about 2 months ago - Stars: 8,784 - Forks: 988
neka-nat/probreg
Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)
Language: Python - Size: 52.1 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 912 - Forks: 150
stan-dev/cmdstanr
CmdStanR: the R interface to CmdStan
Language: R - Size: 27.7 MB - Last synced at: 4 days ago - Pushed at: 9 days ago - Stars: 150 - Forks: 65
andreasMazur/variational_autoencoder
A light TensorFlow meta-class for variational autoencoder.
Language: Python - Size: 26.4 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0
ohirose/bcpd
Bayesian Coherent Point Drift / Domain Elastic Transform
Language: C - Size: 24.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 312 - Forks: 41
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
Language: Python - Size: 516 MB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 9,051 - Forks: 2,096
soran-ghaderi/torchebm
🍓 Build and train energy-based and diffusion models in PyTorch ⚡.
Language: Python - Size: 40 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 1
GPflow/GPflow
Gaussian processes in TensorFlow
Language: Python - Size: 374 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1,874 - Forks: 430
ReactiveBayes/ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
Language: Julia - Size: 107 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 113 - Forks: 14
abhiagwl/vistan
A simple library to run variational inference on Stan models.
Language: Python - Size: 280 KB - Last synced at: 2 days ago - Pushed at: about 2 years ago - Stars: 32 - Forks: 3
larslorch/avici
Amortized Inference for Causal Structure Learning, NeurIPS 2022
Language: Python - Size: 639 KB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 64 - Forks: 10
ReactiveBayes/RxInfer.jl
Julia package for automated Bayesian inference on a factor graph with reactive message passing
Language: Jupyter Notebook - Size: 437 MB - Last synced at: 6 days ago - Pushed at: 9 days ago - Stars: 338 - Forks: 29
janosh/awesome-normalizing-flows
Awesome resources on normalizing flows.
Language: Python - Size: 158 KB - Last synced at: 14 days ago - Pushed at: about 1 month ago - Stars: 1,527 - Forks: 128
shz9/viprs
Variational Inference of Polygenic Risk Scores
Language: Python - Size: 9.48 MB - Last synced at: 16 days ago - Pushed at: about 2 months ago - Stars: 24 - Forks: 2
fehiepsi/rethinking-numpyro
Statistical Rethinking (2nd ed.) with NumPyro
Language: Jupyter Notebook - Size: 143 MB - Last synced at: 18 days ago - Pushed at: about 1 month ago - Stars: 458 - Forks: 75
julian-8897/Conv-VAE-PyTorch
Variational Autoencoder (VAE) in PyTorch
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zombieTDV/A-Guide-to-Variational-Inference-and-Neural-Networks-for-Approximating-Latent-Spaces
Hướng dẫn và mã nguồn toàn diện về Suy luận Biến thiên và Mạng Nơ-ron (Autoencoder & VAE) cho bài toán xấp xỉ, trực quan hóa không gian ẩn với các thí nghiệm chi tiết trên không gian 2D và 32D.
Language: Python - Size: 81.4 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
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larslorch/dibs
DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021
Language: Python - Size: 13 MB - Last synced at: 20 days ago - Pushed at: over 1 year ago - Stars: 50 - Forks: 13
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Language: Python - Size: 66.2 MB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 1,498 - Forks: 329
acerbilab/vbmc
Variational Bayesian Monte Carlo (VBMC) algorithm for posterior and model inference in MATLAB
Language: MATLAB - Size: 24.6 MB - Last synced at: 22 days ago - Pushed at: about 2 years ago - Stars: 224 - Forks: 42
yell/boltzmann-machines
Boltzmann Machines in TensorFlow with examples
Language: Jupyter Notebook - Size: 354 MB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 848 - Forks: 136
mlcolab/Pathfinder.jl
Preheat your MCMC
Language: Julia - Size: 24 MB - Last synced at: about 12 hours ago - Pushed at: about 13 hours ago - Stars: 79 - Forks: 9
team-approx-bayes/ivon
IVON optimizer for neural networks based on variational learning.
Language: Python - Size: 31.3 KB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 65 - Forks: 5
bayinf/awesome-variational-inference
A curated list of awesome variational inference
Size: 8.79 KB - Last synced at: 2 days ago - Pushed at: almost 5 years ago - Stars: 23 - Forks: 3
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
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edserranoc/Inverse_Problems_Course
Inverse Problems Course.
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gnthibault/Optimisation-Python
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
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caravagnalab/bascule
Detecting mutational signatures via bayesian inference and a reference catalog
Language: R - Size: 53.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 1
zhidacaishu/notebook
This document contains Henry's study notes.
Size: 3.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 0
acerbilab/pyvbmc
PyVBMC: Variational Bayesian Monte Carlo algorithm for posterior and model inference in Python
Language: Python - Size: 95.1 MB - Last synced at: 6 days ago - Pushed at: 4 months ago - Stars: 118 - Forks: 7
bayesml/BayesML
Your first library for Bayesian machine learning
Language: Python - Size: 8.62 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 8 - Forks: 1
jeff-regier/Celeste.jl
Scalable inference for a generative model of astronomical images
Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 185 - Forks: 28
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Language: Python - Size: 94.7 KB - Last synced at: 19 days ago - Pushed at: about 1 year ago - Stars: 1,167 - Forks: 258
BayesianRL/NonparametricVI.jl
Particle-based and nonparametric variational methods for approximate Bayesian inference and Probabilistic Programming
Language: Julia - Size: 13.1 MB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 14 - Forks: 0
RasmussenLab/MOVE
MOVE (Multi-Omics Variational autoEncoder) for integrating multi-omics data and identifying cross modal associations
Language: Jupyter Notebook - Size: 540 MB - Last synced at: 28 days ago - Pushed at: 8 months ago - Stars: 77 - Forks: 27
lucadellalib/bayestorch
Lightweight Bayesian deep learning library for fast prototyping based on PyTorch
Language: Python - Size: 104 KB - Last synced at: 26 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0
MauroCE/PersonalWebsite
Personal Website with Blogposts, Achievements and Ideas
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ksachdeva/rethinking-tensorflow-probability
Statistical Rethinking (2nd Ed) with Tensorflow Probability
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FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
Size: 32 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 390 - Forks: 32
YangLabHKUST/mfair
mfair: Matrix Factorization with Auxiliary Information in R
Language: R - Size: 41.6 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 8 - Forks: 1
biaslab/nsi-silverbox
Online system identification in Silverbox by minimising free energy
Language: Jupyter Notebook - Size: 105 MB - Last synced at: 24 days ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
single-cell-genetics/vireo
Demultiplexing pooled scRNA-seq data with or without genotype reference
Language: Python - Size: 4.39 MB - Last synced at: 30 days ago - Pushed at: 2 months ago - Stars: 83 - Forks: 28
gpstuff-dev/gpstuff
GPstuff - Gaussian process models for Bayesian analysis
Language: MATLAB - Size: 67.2 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 174 - Forks: 61
gleday/ShrinkNet
Gene network reconstruction using global-local shrinkage priors
Language: C++ - Size: 11.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 0
4ment/torchtree
A probabilistic framework in PyTorch for phylogenetic models
Language: Jupyter Notebook - Size: 42.6 MB - Last synced at: 26 days ago - Pushed at: 7 months ago - Stars: 16 - Forks: 3
zhongluu/luluNAV
tightly coupled navigation using um982 & stim300 & variational bayesian method
Language: MATLAB - Size: 21.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
abdulfatir/normalizing-flows
Understanding normalizing flows
Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 132 - Forks: 20
hruffieux/atlasqtl
atlasqtl R package - Fast global-local hotspot QTL detection
Language: R - Size: 790 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 6 - Forks: 2
omerbsezer/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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ermongroup/Sequential-Variational-Autoencoder
Implementation of Sequential Variational Autoencoder
Language: Python - Size: 164 MB - Last synced at: 1 day ago - Pushed at: almost 8 years ago - Stars: 88 - Forks: 15
sandialabs/quinn
Quantification of Uncertainties in Neural Networks
Language: Python - Size: 7.5 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 11 - Forks: 0
bayesgroup/deepbayes-2018
Seminars DeepBayes Summer School 2018
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moucheng2017/EM-BPL-Semi-Seg
[MICCAI 2022 Best Paper Finalist] Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi Supervised Segmentation
Language: Python - Size: 4.25 MB - Last synced at: 29 days ago - Pushed at: 3 months ago - Stars: 39 - Forks: 1
lucadellalib/bdl-rul-svgd
Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent
Language: Python - Size: 11.6 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 23 - Forks: 0
juyeon999/OEDPM
Implement of paper "Unsupervised Outlier Detection using Random Subspace and Subsampling Ensembles of Dirichlet Process Mixtures"
Language: Python - Size: 742 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
mrazomej/scribe
SCRIBE: Single-Cell RNA-seq Inference using Bayesian Estimation
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desResLab/LINFA
A Python library for variational inference with normalizing flow and annealing
Language: Python - Size: 8.76 MB - Last synced at: 10 days ago - Pushed at: 3 months ago - Stars: 16 - Forks: 2
cjpcool/VGMGC
TNNLS "Variational Graph Generator for Multi-View Graph Clustering".
Language: Python - Size: 16.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 5 - Forks: 0
shiyis/politics
The political text ideology classification tool provides a solution to expedite interpreting an author's intentions and subjectivity through quantitative measures.
Language: TeX - Size: 58.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
4ment/phylostan
Phylogenetic inference using Stan
Language: Python - Size: 13.3 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 24 - Forks: 5
sajadn/posterior-collapse-list
A curated list of techniques to avoid posterior collapse
Size: 106 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 87 - Forks: 10
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 at: 2 months ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 5
mattiabr1/variational-bayes
Algorithms for inference in Gaussian Mixture Models.
Language: Jupyter Notebook - Size: 17.3 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
RobbenRibery/TuoTuo
TuoTuo is a Topic Modeling library for Researchers and Engineers
Language: Jupyter Notebook - Size: 2.15 MB - Last synced at: 17 days ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 2
mhw32/variational-item-response-theory-public
A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"
Language: Python - Size: 66.4 KB - Last synced at: about 2 months ago - Pushed at: about 5 years ago - Stars: 78 - Forks: 21
ermongroup/SPN_Variational_Inference
PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020
Language: Python - Size: 1.45 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 17 - Forks: 2
Piyush-555/VCL-in-PyTorch
PyTorch implementation of Variational Continual Learning
Language: Python - Size: 819 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 1
slimgroup/WISER.jl
WISER: multimodal variational inference for full-waveform inversion without dimensionality reduction
Language: Julia - Size: 31.3 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0
calico/do_bwd
Python implementation of extracting body weight dynamics in diversity outbred mice using ARHMM.
Language: Jupyter Notebook - Size: 971 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
csiro-funml/bacon
Bayesian adaptive calibration and optimal design (BACON) paper accepted at NeurIPS 2024
Language: Jupyter Notebook - Size: 4.58 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
thuwzy/ZhuSuan-PyTorch
An Elegant Library for Bayesian Deep Learning in PyTorch
Language: Python - Size: 16.2 MB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 25 - Forks: 4
jhuggins/viabel
Efficient, lightweight variational inference and approximation bounds
Language: Python - Size: 39.1 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 43 - Forks: 15
BeeGass/VAEs
Reproducible code showing the various types of variational autoencoders I have implemented
Language: Python - Size: 62.6 MB - Last synced at: 2 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0
marcobellagente93/Bayesian_INN
An Invertible Neural Network using Variational-Inference to estimate the model uncertainty
Language: Python - Size: 110 KB - Last synced at: 1 day ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
PurdueDigitalTwin/seneva 📦
[CVPR 2024] Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture
Language: Python - Size: 77.1 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
sjchoi86/bayes-nn
Lecture notes on Bayesian deep learning
Size: 22 MB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 483 - Forks: 112
mancusolab/FactorGo
Software to infer latent pleiotropic components from GWAS summary data
Language: Python - Size: 532 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 13 - Forks: 0
tomekkorbak/active-inference
A toy model of Friston's active inference in Tensorflow
Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: about 1 month ago - Pushed at: almost 8 years ago - Stars: 40 - Forks: 8
svc-develop-team/so-vits-svc 📦
SoftVC VITS Singing Voice Conversion
Language: Python - Size: 10.6 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 26,385 - Forks: 4,900
lucastheis/trlda
Implementations of various online inference algorithms for LDA, with Python interface.
Language: C++ - Size: 1.06 MB - Last synced at: about 1 month ago - Pushed at: about 10 years ago - Stars: 21 - Forks: 2
AIH-SGML/mixmil
Code for the paper: Mixed Models with Multiple Instance Learning
Language: Jupyter Notebook - Size: 587 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 19 - Forks: 2
ClaireYurev/theme-variable-checker
A tool for verifying the correctness and consistency of theme variables.
Size: 1000 Bytes - Last synced at: 4 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
YeongHyeon/Normalizing-Flow-TF2
TensorFlow implementation of "Variational Inference with Normalizing Flows"
Language: Python - Size: 81.7 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 9 - Forks: 0
kourouklides/artificial_neural_networks
A collection of Methods and Models for various architectures of Artificial Neural Networks
Language: Python - Size: 6.61 MB - Last synced at: 30 days ago - Pushed at: 11 months ago - Stars: 41 - Forks: 11
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 at: about 2 months ago - Pushed at: over 4 years ago - Stars: 24 - Forks: 1
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: 11.4 MB - Last synced at: 9 days ago - Pushed at: about 1 year ago - Stars: 23 - Forks: 0
davidnabergoj/nfmc-nf-evaluation
NFMC benchmark and code for the paper: "Nabergoj and Štrumbelj. Empirical evaluation of normalizing flows in Markov Chain Monte Carlo, 2024."
Language: Jupyter Notebook - Size: 428 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
MaximeVandegar/Normalizing-Flows
A repository to learn about Flows, mostly from papers
Size: 5.08 MB - Last synced at: 3 months ago - Pushed at: almost 5 years ago - Stars: 20 - Forks: 3
ysngshn/ivon-optax
An Optax-based JAX implementation of the IVON optimizer for large-scale VI training of NNs (ICML'24 spotlight)
Language: Python - Size: 43 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0
XiaoyuBIE1994/DVAE_SE
Unsupervised speech enhancement using DVAEs
Language: Python - Size: 18.1 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 20 - Forks: 3
cbg-ethz/scDEF
Deep exponential families for single-cell data.
Language: Python - Size: 35 MB - Last synced at: 9 days ago - Pushed at: 7 months ago - Stars: 21 - Forks: 1
lacerbi/interactive-vi-demo
Interactive demo of variational inference
Language: JavaScript - Size: 3.04 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
SimonKohl/probabilistic_unet
A U-Net combined with a variational auto-encoder that is able to learn conditional distributions over semantic segmentations.
Language: Jupyter Notebook - Size: 21 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 547 - Forks: 100
vr308/Generalised-Gaussian-Processes
Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods
Language: Python - Size: 1.36 MB - Last synced at: about 22 hours ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 1
andrewwijaya/Bayesian-Neural-Networks-in-Julia
Bayesian Neural Networks implemented in Julia using variational inference and Hamiltonian Monte Carlo sampling.
Language: Jupyter Notebook - Size: 208 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1
obiyoag/BayeSeg
[MedIA Best Paper Award] Official implementation of MedIA paper "BayeSeg: Bayesian Modelling for Medical Image Segmentation with Interpretable Generalizability"
Language: Python - Size: 401 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 81 - Forks: 5
ashes-github/MSc-ESO-project
To Identify Latent Structure from High Dimensional Data Space
Language: Jupyter Notebook - Size: 3.11 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
