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probabilistic-graphical-models

Here are 267 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!!

Updated Oct 19, 2024
HTML

guoguibing / librec

LibRec: A Leading Java Library for Recommender Systems, see

java matrix collaborative-filtering matrix-factorization systems sparse recommender tensor-factorization collaborative tensor factorization filtering recommender-systems recommendation-algorithms probabilistic-graphical-models

Updated Jul 13, 2023
Java

jmschrei / pomegranate

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

python machine-learning pytorch probabilistic-graphical-models

Updated Mar 6, 2025
Python

jaanli / 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 Apr 24, 2024
Python

TuringLang / Turing.jl

Bayesian inference with probabilistic programming.

machine-learning julia-language artificial-intelligence probabilistic-programming bayesian-inference mcmc turing hacktoberfest probabilistic-graphical-models hmc hamiltonian-monte-carlo bayesian-statistics probabilistic-models bayesian-neural-networks probabilistic-inference

Updated Dec 14, 2025
Julia

extropic-ai / thrml

Thermodynamic Hypergraphical Model Library in JAX

machine-learning probabilistic-graphical-models jax probabilistic-computing

Updated Nov 16, 2025
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#

florist-notes / CS228_PGM

🌲 Stanford CS 228 - Probabilistic Graphical Models

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

Updated Aug 30, 2024
Python

biaslab / ForneyLab.jl

Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

machine-learning bayesian-methods probabilistic-programming probabilistic-graphical-models factor-graph state-space-models

Updated May 3, 2023
Julia

ginevracoal / statistical-machine-learning

Probabilistic Machine Learning course lab @Units

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

Updated Jun 16, 2022
Jupyter Notebook

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

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 Sep 25, 2025
Julia

ComputationalPsychiatry / pyhgf

PyHGF: A neural network library for predictive coding

reinforcement-learning neural-networks bayesian-inference probabilistic-graphical-models bayesian-filter belief-propagation computational-psychiatry state-space-model jax graph-neural-networks predictive-coding active-inference hierarchical-gaussian-filter

Updated Dec 3, 2025
Python

hao-lh / the-books-making-you-better

This repo is a curated library to help you achieve a deeper understanding of what drives success and continuous improvement. Dive in, and discover content that can expand your thinking, sharpen your expertise, and fuel you drive better, whether you’re exploring new fields, honing in-demand skills, or simply looking for fresh perspectives.

machine-learning reinforcement-learning computer-vision deep-learning linear-algebra statistical-learning high-performance-computing bayesian-inference computer-architecture probabilistic-graphical-models

Updated Oct 25, 2025

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

TuringLang / JuliaBUGS.jl

A domain specific language (DSL) for probabilistic graphical models

probabilistic-programming graphical-models bayesian-inference probabilistic-graphical-models bugs-language

Updated Dec 15, 2025
Julia

ReactiveBayes / ReactiveMP.jl

High-performance reactive message-passing based Bayesian inference engine

julia inference probabilistic-programming bayesian-inference variational-inference probabilistic-graphical-models message-passing variational-bayes

Updated Dec 15, 2025
Julia

causact

flyaflya / causact

causact: R package to accelerate computational Bayesian inference workflows in R through interactive visualization of models and their output.

probabilistic-programming bayesian-inference probabilistic-graphical-models posterior-probability dags rstats-package

Updated Sep 12, 2025
R

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 Oct 30, 2022
Python

keensam04 / upgrad_pgdmlai

assignments and group case studies from PGDMLAI course by upGrad & IIITB

machine-learning natural-language-processing reinforcement-learning neural-network artificial-intelligence probabilistic-graphical-models upgrad pgdds-iiit-bangalore

Updated Aug 7, 2023
Jupyter Notebook

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