#

probabilistic-graphical-models

Here are 249 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

jmschrei / pomegranate

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

python machine-learning pytorch probabilistic-graphical-models

Updated Mar 6, 2025
Python

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

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 May 21, 2025
Julia

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

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 Jul 31, 2024
Julia

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 Jan 13, 2024

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

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

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

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 May 20, 2025
Julia

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 Jun 6, 2024
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 May 13, 2025
Python

Novartis / scar

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

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

Updated Aug 17, 2024
Python

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

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 Jan 18, 2025
R

aGrUM

agrumery / aGrUM

This repository is a mirror. If you want to raise an issue or contact us, we encourage you to do it on Gitlab (https://gitlab.com/agrumery/aGrUM).

Updated May 17, 2025
Jupyter Notebook

andreacasalino / Easy-Factor-Graph

General purpose C++ library for managing discrete factor graphs

training machine-learning cpp probability bayesian-network artificial-intelligence bayesian-methods graphical-models factor-graphs probabilistic-graphical-models artificial-intelligence-algorithms factor-graph

Updated Feb 8, 2024
C++

diningphil / CGMM

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

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

Updated Jul 30, 2022
Python

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