The Wayback Machine - https://web.archive.org/web/20220522162658/https://github.com/topics/probabilistic-graphical-models

#

probabilistic-graphical-models

Here are 199 public repositories matching this topic...

kmario23 / deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks

Updated Apr 10, 2022
HTML

jmschrei / pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

python machine-learning cython parallel probabilistic-graphical-models

Updated May 13, 2022
Jupyter Notebook

pgmpy / pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

python statistics simulation statistical-inference causality bayesian-networks probabilistic-graphical-models dag causal-inference structure-learning causal-models sampling-methods

Updated May 12, 2022
Python

altosaar / variational-autoencoder

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

learning machine-learning deep-neural-networks deep-learning tensorflow deep pytorch vae unsupervised-learning variational-inference probabilistic-graphical-models variational-autoencoder autoregressive-neural-networks

Updated Nov 11, 2021
Python

dotnet / mbmlbook

Sample code for the Model-Based Machine Learning book.

machine-learning probabilistic-programming probabilistic-graphical-models probabilistic-models

Updated Mar 17, 2021
C#

probcomp / PClean

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

probabilistic-programming bayesian-inference data-cleaning probabilistic-graphical-models data-cleansing

Updated Nov 23, 2021
Julia

biaslab / ForneyLab.jl

Open

Remove antipatterns

1

ThijsvdLaar commented Apr 20, 2020

This blogpost from Lyndon White mentions several antipatterns for Julia code: https://white.ucc.asn.au/2020/04/19/Julia-Antipatterns.html (thanks @bauglir for pointing this out). Some of the antipatterns mentioned here are also present in the FL code.

The most prominent one is the over-constraining of argument types. Some very specific constraints are needed for the update rules, but in oth

Read more

good first issue refactoring

hao-lh / books-making-you-better

A list of time-lasting classic books, which could not only help you figure out how it works, but also grasp when it works and why it works in that way.

machine-learning reinforcement-learning computer-vision deep-learning linear-algebra statistical-learning inference stanford-university high-performance-computing bayesian-inference computer-architecture probabilistic-graphical-models hao 5th robert-tibshirani

Updated May 14, 2022

AliMorty / Markov-Random-Field-Project

This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.

image-segmentation probabilistic-graphical-models markov-random-field denoising-images

Updated Jun 23, 2020
Jupyter Notebook

biaslab / ReactiveMP.jl

Open

Networks of discrete random variables

2

nathanielvirgo commented Apr 27, 2022

This is more of a question than an issue. (If there's a better place to ask it please let me know.)

I'm hoping to do inference on networks of (mostly) discrete random variables. ReactiveMP sounded like it might be well suited to my applications, because message passing is likely to perform a lot better than the MCMC algorithms that other PPLs tend to use.

However, I can't get some simple exa

Read more

good first issue

meringlab / FlashWeave.jl

Inference of microbial interaction networks from large-scale heterogeneous abundance data

metadata bioinformatics julia metagenomics high-performance-computing microbiome probabilistic-graphical-models co-occurence compositional-data ecological-network

Updated May 20, 2022
Julia

kpoeppel / pytorch_probgraph

A Library for Modelling Probabilistic Hierarchical Graphical Models in PyTorch

pytorch restricted-boltzmann-machine probabilistic-graphical-models deep-belief-network

Updated Aug 7, 2020
Python

s-ai-kia / CS228_PGM

🌀 Stanford CS 228 - Probabilistic Graphical Models

stanford-university bayesian markov-decision-processes probabilistic-graphical-models cs228

Updated Jan 15, 2019
Python

stefanwebb / flowtorch-old

Separating Normalizing Flows code from Pyro and improving API

pytorch probabilistic-programming bayesian-inference probabilistic-graphical-models bayesian-statistics probabilistic-models normalizing-flows

Updated Aug 26, 2021
Python

diningphil / CGMM

Official repository of the Contextual Graph Markov Model (ICML 2018 - JMLR 2020)

machine-learning deep-learning graphs unsupervised-learning probabilistic-graphical-models

Updated Mar 3, 2022
Python

deep-learning-drizzle / deep-learning-drizzle.github.io

webpage for maintaining the list of openly available DL, ML, RL, Vision, NLP, Optimization courses

machine-learning natural-language-processing deep-neural-networks computer-vision deep-learning machine-translation deep-reinforcement-learning medical-imaging speech-recognition probabilistic-graphical-models graph-neural-networks

Updated Apr 10, 2022
HTML

trungnt13 / odin-ai

Orgainzed Digital Intelligent Network (O.D.I.N)

machine-learning natural-language-processing deep-neural-networks deep-learning graph-algorithms image-processing bayesian-methods generative-model semi-supervised-learning probabilistic-programming text-processing probabilistic-graphical-models speech-processing variational-autoencoder variational-autoencoders disentangled-representations factor-vae disentanglement-learning

Updated Aug 11, 2021
Python

chyikwei / bnp

Bayesian nonparametric models for python

python topic-modeling data-analysis bayesian probabilistic-graphical-models

Updated Sep 11, 2018
Python

ml-uol / prosper

Open

Documentation

gexarcha commented Jul 17, 2019

The documentation at this point is in a very poor state at this point. We need to do considerable effort and I suggest that we adhere to NumPy style docstrings

Read more

documentation enhancement help wanted good first issue

UBC-Stat-ML / blangSDK

Blang's software development kit

machine-learning probabilistic-programming bayesian-inference mcmc probabilistic-graphical-models bayesian-statistics markov-chain-monte-carlo mcmc-sampler probabilistic-models

Updated May 4, 2022
Xtend

xzluo97 / MvMM-RegNet

Code for paper: MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation

deep-learning tensorflow probabilistic-graphical-models medical-image-registration groupwise-registration

Updated Feb 9, 2022
Python

ginevracoal / statistical-machine-learning

Probabilistic Machine Learning course lab @Units

machine-learning tutorial probabilistic-programming probabilistic-graphical-models

Updated May 11, 2022
Jupyter Notebook

hyu-ub / BayesNetBP

R package for inference in Bayesian networks.

network-inference bayesian-networks probabilistic-graphical-models conditional-gaussian

Updated May 8, 2022
R

xuedong / machine-learning-summer-schools

Curated materials for different machine learning related summer schools

machine-learning natural-language-processing statistics reinforcement-learning deep-learning optimization automatic-differentiation deep-reinforcement-learning multi-agent generative-adversarial-network transfer-learning kernel-methods mcmc gaussian-processes variational-inference multi-armed-bandits probabilistic-graphical-models causal-inference optimal-transport interpretability

Updated Mar 8, 2021
Jupyter Notebook

arranger1044 / DEBD

A collection of commonly used datasets as benchmarks for density estimation in MaLe

benchmark dataset probabilistic-graphical-models density-estimation tractable-models

Updated Jul 15, 2019
Python

breandan / markovian

Sponsor

🎲 A Kotlin DSL for probabilistic programming.

probabilistic-programming bayesian-networks probabilistic-graphical-models uncertainty-propagation probabilistic-circuits

Updated Apr 8, 2022
Java

lingxuez / bayes-net

Checking D-separations and I-equivalence in Bayesian Networks.

python bayesian-network graphical-models probabilistic-graphical-models

Updated Feb 11, 2017
Python

Novartis / scar

scAR (single-cell Ambient Remover) is a package for removal of the ambient signals in droplet-based single cell omics

machine-learning generative-model screening probabilistic-graphical-models variational-autoencoder single-cell-rna-seq denoising-algorithm cite-seq

Updated May 21, 2022
Python

tonysy / awesome-graph-networks

Materials for Graph Models and Graph Networks

deep-learning artificial-intelligence probabilistic-graphical-models

Updated Jul 6, 2018

antoine-moulin / MVA

Labs and homeworks done during the Master Mathematics, Vision, Learning (MVA) at ENS Paris-Saclay.

reinforcement-learning deep-learning kernel-methods probabilistic-graphical-models object-recognition convex-optimization mva graphs-classification sequential-learning ens-paris-saclay

Updated Sep 30, 2020
Jupyter Notebook

Improve this page

Add a description, image, and links to the probabilistic-graphical-models topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the probabilistic-graphical-models topic, visit your repo's landing page and select "manage topics."