graphical-models
There are 210 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.
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
Mogeng/IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
MarineRoboticsGroup/dcsam
Factored inference for discrete-continuous smoothing and mapping.
krashkov/Belief-Propagation
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
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
QuantumLeaps/qm
QM model-based design tool and code generator based on UML state machines
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
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"
fredzzhang/spatially-conditioned-graphs
Official PyTorch implementation for ICCV 2021 paper "Spatially Conditioned Graphs for Detecting Human–Object Interactions"
felixleopoldo/benchpress
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
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.
itsrainingdata/sparsebn
Software for learning sparse Bayesian networks
WladimirSidorenko/CRFSuite
Tree-Structured, First- and Higher-Order Linear Chain, and Semi-Markov CRFs
eclipse-glsp/glsp-client
Web-based client framework of the graphical language server platform
eclipse-glsp/glsp-examples
Example diagram editors built with Eclipse GLSP
eclipsesource/graphical-lsp
Graphical language server platform for building web-based diagram editors
alan-turing-institute/grace
Graph Representation Analysis for Connected Embeddings
mschauer/Mitosis.jl
Automatic probabilistic programming for scientific machine learning and dynamical models
ostwalprasad/LGNpy
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
alan-turing-institute/PDSampler.jl
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
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