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probabilistic-graphical-models

Here are 70 public repositories matching this topic...

jmschrei / pomegranate

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

python machine-learning pytorch probabilistic-graphical-models

Updated Oct 18, 2024
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

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

ilabcode / 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 Nov 13, 2024
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

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

xzluo97 / MvMM-RegNet

MvMM-RegNet: A new image registration framework based on multivariate mixture model and neural network estimation (MICCAI 2020)

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

Updated Jul 4, 2024
Python

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

ml-uol / prosper

A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions

machine-learning sparse-coding variational-inference probabilistic-graphical-models feature-learning

Updated Oct 17, 2019
Python

xzluo97 / MvMM-Demo

PyTorch implementation for multivariate mixture model on cardiac segmentation from multi-source images (TPAMI 2019)

pytorch probabilistic-graphical-models medical-image-registration medical-image-segmentation combined-computing multivariate-mixture-model

Updated Dec 16, 2022
Python

chyikwei / bnp

Bayesian nonparametric models for python

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

Updated Sep 11, 2018
Python

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

InferencePGMbyGNN

anvinhnguyendinh / InferencePGMbyGNN

A Tensorflow implementation of the paper https://arxiv.org/pdf/1803.07710.pdf

graph inference probabilistic-graphical-models graphneuralnetwork

Updated Jun 19, 2019
Python

shlizee / TimeAwarePC

A python package for finding causal functional connectivity from neural time series observations.

python timeseries graph probabilistic-graphical-models causal-inference causal-models causal-discovery functional-connectome

Updated Dec 16, 2023
Python

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

hayesall / awesome-bayes-nets

⚗️ A curated list of Books, Research Papers, and Software for Bayesian Networks.

machine-learning awesome awesome-list bayes bayesian-networks probabilistic-graphical-models

Updated Sep 1, 2024
Python

yanshengjia / jist2016

Implementation of the Paper "Entity Linking in Web Tables with Multiple Linked Knowledge Bases"

python nlp knowledge-base markov-decision-processes probabilistic-graphical-models random-walk entity-linking

Updated Oct 27, 2017
Python

inp2 / sherlock

This is a digital forensic analysis toolkit that relies on graph theory, link analysis, and probabilistic graphical models in order to aid the examiner in digital forensic investigations.

graph-theory digital-forensics probabilistic-graphical-models forensic-analysis link-analysis forensic-examinations

Updated Nov 8, 2018
Python

salimandre / Markov-Random-Fields

Image denoising using Markov random fields.

icm bayesian-inference probabilistic-graphical-models gibbs-sampling image-denoising potts-model undirected-graph metropolis-hastings-algorithm markov-random-fields

Updated Feb 20, 2020
Python

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