graphical-models
There are 240 repositories under graphical-models topic.
py-why/dowhy
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.
pgmpy/pgmpy
Python library for causal inference and probabilistic modeling.
thu-ml/zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
FranxYao/Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
autonlab/auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
SPFlow/SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
skggm/skggm
Scikit-learn compatible estimation of general graphical models
adityadua24/robopy
Robopy is a python port for Robotics Toolbox in Matlab created by Peter Corke
eclipse-glsp/glsp
Graphical language server platform for building web-based diagram editors
jeff-regier/Celeste.jl
Scalable inference for a generative model of astronomical images
krashkov/Belief-Propagation
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
Mogeng/IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
QuantumLeaps/qm
"Low ceremony" graphical modeling and code generation tool based on QP frameworks and Hierarchical State Machines (UML Statecharts)
MarineRoboticsGroup/dcsam
Factored inference for discrete-continuous smoothing and mapping.
IngoScholtes/pathpy
pathpy is an OpenSource python package for the modeling and analysis of pathways and temporal networks using higher-order and multi-order graphical models
simonkamronn/kvae
Kalman Variational Auto-Encoder
clinicalml/dmm
Deep Markov Models
BorealisAI/private-data-generation
A toolbox for differentially private data generation
kevinsbello/dagma
A Python 3 package for learning Bayesian Networks (DAGs) from data. Official implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"
amidst/toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
OpenMx/OpenMx
Repository for the OpenMx Structural Equation Modeling package
anskarl/LoMRF
LoMRF is an open-source implementation of Markov Logic Networks
felixleopoldo/benchpress
Scalable open-source software to run, develop, and benchmark causal discovery algorithms
fredzzhang/spatially-conditioned-graphs
[ICCV'21] Official PyTorch implementation for paper "Spatially Conditioned Graphs for Detecting Human–Object Interactions"
rhayes777/PyAutoFit
PyAutoFit: Classy Probabilistic Programming
chaitanyamalaviya/NeuralFactorGraph
This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.
eclipse-glsp/glsp-examples
Example diagram editors built with Eclipse GLSP
eclipse-glsp/glsp-client
Web-based client framework of the graphical language server platform
WladimirSidorenko/CRFSuite
Tree-Structured, First- and Higher-Order Linear Chain, and Semi-Markov CRFs
itsrainingdata/sparsebn
Software for learning sparse Bayesian networks
eclipse-glsp/glsp-server
Java-based server framework of the graphical language server platform
fabian-sp/GGLasso
A Python package for General Graphical Lasso computation
eclipsesource/graphical-lsp
Graphical language server platform for building web-based diagram editors
andreacasalino/Easy-Factor-Graph
General purpose C++ library for managing discrete factor graphs
ostwalprasad/LGNpy
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
hadoov/GHRS
GHRS: Graph-based hybrid recommendation system with application to movie recommendation