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Top 15 graphical-models open source projects

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

✭ 2,093

python deep-learning bayesian-inference graphical-models generative-models

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

✭ 3,480

python machine-learning data-science graphical-models causality bayesian-networks causal-inference treatment-effects causal-models do-calculus causal-machine-learning

private-data-generation

A toolbox for differentially private data generation

✭ 80

python shell generative-adversarial-network graphical-models differential-privacy generative-models

QM model-based design tool and code generator based on UML state machines

Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧

✭ 25

python bayesian-network graphical-models message-passing belief-propagation gaussian-graphical-models linear-gaussian-networks gaussian-bayesian-networks gaussian-belief-propagation gabp

StatNLP-Framework

C++ based implementation of StatNLP framework

✭ 17

C++python CMake fortran c Cuda nlp machine-learning natural-language-processing deep-learning neural-network crf graphical-models conditional-random-fields

pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models

✭ 124

python data machine-learning data-mining graph analysis model-selection networks temporal-networks graphical-models pathways network-analysis sequential-data multi-order temporal-correlations

Belief-Propagation

Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum

✭ 85

Jupyter Notebook HTML graph-algorithms graphical-models message-passing sum-product belief-propagation factor-graph loopy-belief-propagation max-product

tutorial-UGM-hyperspectral

A Tutorial on Modeling and Inference in Undirected Graphical Models for Hyperspectral Image Analysis

✭ 21

matlab TeX graphical-models hyperspectral-image-classification hyperspectral conditional-random-fields markov-random-field

Automatic probabilistic programming for scientific machine learning and dynamical models

✭ 33

julia graphical-models markov-processes

Java-based server framework of the graphical language server platform

✭ 25

java diagram emf graphical-models modeling-tools diagram-editor lsp lsp-server glsp graphical-modeling

Markov random fields with covariates

✭ 21

r machine-learning networks graphical-models r-package network-analysis conditional-random-fields markov-random-field multivariate-analysis multivariate-statistics

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

✭ 21

python shell deep-neural-networks deep-learning graphical-models attention-mechanism paper-implementations graph-embedding graph-classification graph-signals dgcnn gnn graph-convolutions

Example diagram editors built with Eclipse GLSP

✭ 28

java typescript javascript CSS diagram graphical-models lsp lsp-server theia-extension theia sprotty diagram-editors eclipse-theia

Software for learning sparse Bayesian networks

✭ 41

r machine-learning statistics regularization graphical-models bayesian-networks covariance-matrices experimental-data

1-15 of 15 graphical-models projects