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GitHub topics: variational-inference

ReactiveBayes/RxInferExamples.jl

This repository contains examples for RxInfer.jl

Language: Makefile - Size: 165 MB - Last synced at: about 5 hours ago - Pushed at: about 5 hours ago - Stars: 22 - Forks: 9

VincentStimper/normalizing-flows

PyTorch implementation of normalizing flow models

Language: Python - Size: 7.44 MB - Last synced at: 1 day 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: 1 day 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: about 19 hours 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: 3 days ago - Pushed at: 8 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: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

ohirose/bcpd

Bayesian Coherent Point Drift / Domain Elastic Transform

Language: C - Size: 24.2 MB - Last synced at: 5 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: 6 days ago - Pushed at: 7 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: 7 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: 12 days ago - Pushed at: 12 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: 1 day ago - Pushed at: 1 day 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: 1 day 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: 10 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: 5 days ago - Pushed at: 8 days ago - Stars: 338 - Forks: 29

janosh/awesome-normalizing-flows

Awesome resources on normalizing flows.

Language: Python - Size: 158 KB - Last synced at: 13 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: 15 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: 17 days ago - Pushed at: about 1 month ago - Stars: 458 - Forks: 75

julian-8897/Conv-VAE-PyTorch

Variational Autoencoder (VAE) in PyTorch

Language: Jupyter Notebook - Size: 3.41 MB - Last synced at: about 12 hours ago - Pushed at: 10 months ago - Stars: 17 - Forks: 1

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: 20 days ago - Pushed at: 20 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

Language: Jupyter Notebook - Size: 15.6 MB - Last synced at: 19 days ago - Pushed at: over 1 year ago - Stars: 1,893 - Forks: 308

larslorch/dibs

DiBS: Differentiable Bayesian Structure Learning, NeurIPS 2021

Language: Python - Size: 13 MB - Last synced at: 19 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: 19 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: 21 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: 23.1 MB - Last synced at: 7 days ago - Pushed at: 8 days 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: 22 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: 1 day 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.

Size: 16.1 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 815 - Forks: 75

edserranoc/Inverse_Problems_Course

Inverse Problems Course.

Language: Jupyter Notebook - Size: 24.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 614 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 28 - Forks: 11

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: 5 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: 20 days ago - Pushed at: 20 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: 22 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: 25 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 0

MauroCE/PersonalWebsite

Personal Website with Blogposts, Achievements and Ideas

Language: HTML - Size: 45.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

ksachdeva/rethinking-tensorflow-probability

Statistical Rethinking (2nd Ed) with Tensorflow Probability

Language: Jupyter Notebook - Size: 321 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 270 - Forks: 50

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: 23 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: 29 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: 25 days ago - Pushed at: 6 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..

Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 335 - Forks: 41

ermongroup/Sequential-Variational-Autoencoder

Implementation of Sequential Variational Autoencoder

Language: Python - Size: 164 MB - Last synced at: about 7 hours 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

Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 18 days ago - Pushed at: almost 6 years ago - Stars: 1,046 - Forks: 273

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: 28 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: 9 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: 30 days 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: 1 day 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: about 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: about 11 hours 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: 3 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 1 month 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: 29 days ago - Pushed at: 10 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: 8 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: 8 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: 29 minutes 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: 6 months ago - Pushed at: 6 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

Related Keywords
variational-inference 418 bayesian-inference 107 machine-learning 85 variational-autoencoder 76 deep-learning 68 pytorch 60 python 45 gaussian-processes 36 tensorflow 33 generative-model 31 mcmc 30 vae 27 bayesian-neural-networks 23 probabilistic-programming 22 normalizing-flows 18 variational-bayes 16 bayesian-deep-learning 16 neural-network 13 unsupervised-learning 13 bayesian-statistics 13 variational-autoencoders 13 bayesian 12 autoencoder 12 markov-chain-monte-carlo 12 natural-language-processing 11 probabilistic-graphical-models 11 jax 11 gaussian-mixture-models 11 clustering 10 topic-modeling 10 generative-adversarial-network 9 approximate-inference 9 inference 9 mnist 9 latent-variable-models 9 tensorflow-probability 9 data-science 9 uncertainty-quantification 9 em-algorithm 8 python3 8 deep-neural-networks 8 bayesian-methods 8 causal-inference 8 phylogenetics 8 probabilistic-models 8 graphical-models 8 representation-learning 8 regression 7 gibbs-sampling 7 bayes-by-backprop 7 tensorflow2 7 keras 7 generative-models 7 density-estimation 7 reinforcement-learning 7 sampling 7 nlp 6 empirical-bayes 6 machine-learning-algorithms 6 classification 6 hmc 6 bayes 6 information-bottleneck 6 gumbel-softmax 6 bayesian-optimization 5 pyro 5 artificial-intelligence 5 matrix-factorization 5 convolutional-neural-networks 5 matlab 5 expectation-propagation 5 neural-networks 5 expectation-maximization 5 uncertainty-neural-networks 5 uncertainty 5 diffusion-models 5 computer-vision 5 graph-neural-networks 5 monte-carlo-dropout 5 probabilistic-machine-learning 5 data-analysis 4 variable-selection 4 stein-variational-gradient-decent 4 disentangled-representations 4 gwas 4 r 4 laplace-approximation 4 statistics 4 latent-space 4 variational 4 signal-processing 4 genetics 4 language-model 4 local-reparametrization-trick 4 semi-supervised-learning 4 mixture-model 4 gpflow 4 pymc3 4 generative-ai 4 latent-dirichlet-allocation 4