graphical-models

There are 8 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.
causal-inference machine-learning graphical-models bayesian-networks data-science python3 causality causal-models treatment-effects do-calculus causal-machine-learning
Language:Python 7139
thu-ml / zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
bayesian-inference probabilistic-programming graphical-models generative-models deep-learning
Language:Python 2205
FranxYao / Deep-Generative-Models-for-Natural-Language-Processing
DGMs for NLP. A roadmap.
generative-model generative-text text-generation generative-models latent-variable-models variational-inference variational-autoencoders generative-adversarial-networks normalizing-flows parsing approximate-inference graphical-models natural-language-processing mcmc markov-chain-monte-carlo structured-prediction gradient-estimation discrete-structures language-model decoding
392
autonlab / auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
causal-inference counterfactual-inference data-science deep-learning graphical-models machine-learning python regression reliability-analysis survival-analysis time-to-event
Language:Python 324
SPFlow / SPFlow
Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
deep-learning graphical-models machine-learning mixture-model spn sum-product-networks tensorflow-models
Language:Python 290
skggm / skggm
Scikit-learn compatible estimation of general graphical models
concentration-graph covariance-matrix ensemble-learning gaussian-graphical-models general-graphical-models graphical-lasso graphical-models machine-learning nonparametric precision-matrix rank-correlation scikit-learn skggm
Language:Python 243
adityadua24 / robopy
Robopy is a python port for Robotics Toolbox in Matlab created by Peter Corke
vtk robotics python robotics-toolbox transformations graphical-models kinematics inverse-kinematics
Language:Python 222
eclipse-glsp / glsp
Graphical language server platform for building web-based diagram editors
diagram diagram-editors eclipse glsp graphical-models lsp lsp-server protocol sprotty theia theia-extension vscode
Language:TypeScript 202
jeff-regier / Celeste.jl
Scalable inference for a generative model of astronomical images
astronomical-catalogs astronomical-images astronomy bayesian-inference graphical-models variational-inference
Language:Jupyter Notebook 184
Mogeng / IOHMM
Input Output Hidden Markov Model (IOHMM) in Python
python hidden-markov-model graphical-models sequence-to-sequence machine-learning linear-models sequence-labeling supervised-learning semi-supervised-learning unsupervised-learning time-series scikit-learn statsmodels
Language:Python 162
krashkov / Belief-Propagation
Overview and implementation of Belief Propagation and Loopy Belief Propagation algorithms: sum-product, max-product, max-sum
graphical-models belief-propagation loopy-belief-propagation message-passing factor-graph sum-product max-product graph-algorithms
Language:Jupyter Notebook 154
MarineRoboticsGroup / dcsam
Factored inference for discrete-continuous smoothing and mapping.
bayesian-inference cpp factor-graph graphical-models gtsam hybrid-models localization mapping optimization slam
Language:C++ 146
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
analysis data data-mining graph graphical-models machine-learning model-selection multi-order network-analysis networks pathways python sequential-data temporal-correlations temporal-networks
Language:Python 144
QuantumLeaps / qm
Graphical modeling and code generation tool based on UML state machines
uml uml-state-machine hierarchical-state-machine modeling-tool state-machine embedded-systems code-generation samek qp free graphical-models fsm object-oriented statechart state-diagram code-generator qm-modeling linux macos windows
Language:Shell 140
simonkamronn / kvae
Kalman Variational Auto-Encoder
deep-learning kalman-filter neural-network graphical-models variational-inference variational-autoencoder
Language:Python 135
BorealisAI / private-data-generation
A toolbox for differentially private data generation
differential-privacy generative-adversarial-network generative-models graphical-models
Language:Python 129
clinicalml / dmm
Deep Markov Models
deep-learning generative-model graphical-models hidden-markov-model time-series
Language:Jupyter Notebook 129
amidst / toolbox
A Java Toolbox for Scalable Probabilistic Machine Learning
bayesian-methods bayesian-networks data-science graphical-models latent-variable-models machine-learning streaming-data
Language:Java 119
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"
structure-learning causal-discovery graphical-models neurips-2022 bayesian-networks dags
Language:Python 104
OpenMx / OpenMx
Repository for the OpenMx Structural Equation Modeling package
behavior-genetics c-plus-plus estimation graphical-models growth-curves item-response-theory multilevel-models openmx psychology r statistics structural-equation-modeling
Language:R 87
anskarl / LoMRF
LoMRF is an open-source implementation of Markov Logic Networks
graphical-models inference logic machine-learning probabilistic-programming scala
Language:Scala 80
felixleopoldo / benchpress
A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.
graphical-models bayesian-networks markov-networks benchmarking reproducible-research machine-learning snakemake-workflow structure-learning causal-discovery causal-models causality
Language:Python 64
fredzzhang / spatially-conditioned-graphs
[ICCV'21] Official PyTorch implementation for paper "Spatially Conditioned Graphs for Detecting Human–Object Interactions"
human-object-interaction pytorch graphical-models iccv2021
Language:Python 63
rhayes777 / PyAutoFit
PyAutoFit: Classy Probabilistic Programming
astronomy bayesian-inference bayesian-methods graphical-models mcmc model probabilistic-programming python statistical-analysis statistics stats
Language:Python 60
chaitanyamalaviya / NeuralFactorGraph
This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.
morphology cross-lingual structured-prediction graphical-models
Language:Python 51
eclipse-glsp / glsp-client
Web-based client framework of the graphical language server platform
diagram diagram-editor graphical-models diagramming lsp sprotty glsp web-based graphical-modeling
Language:TypeScript 46
eclipse-glsp / glsp-examples
Example diagram editors built with Eclipse GLSP
diagram diagram-editors eclipse-theia graphical-models lsp lsp-server sprotty theia theia-extension
Language:TypeScript 44
WladimirSidorenko / CRFSuite
Tree-Structured, First- and Higher-Order Linear Chain, and Semi-Markov CRFs
machine-learning crf graphical-models
Language:C 44
itsrainingdata / sparsebn
Software for learning sparse Bayesian networks
bayesian-networks covariance-matrices experimental-data graphical-models regularization machine-learning statistics r
Language:R 43
graphical-lsp
eclipsesource / graphical-lsp
Graphical language server platform for building web-based diagram editors
diagram modeling lsp-server lsp sprotty theia-ide graphical-models
Language:Java 38
eclipse-glsp / glsp-server
Java-based server framework of the graphical language server platform
diagram diagram-editor graphical-models lsp lsp-server glsp java graphical-modeling emf modeling-tools
Language:Java 37
ostwalprasad / LGNpy
Linear Gaussian Bayesian Networks - Inference, Parameter Learning and Representation. 🖧
bayesian-network gaussian-graphical-models graphical-models linear-gaussian-networks message-passing belief-propagation gaussian-bayesian-networks gaussian-belief-propagation gabp
Language:Python 36
alan-turing-institute / grace
Graph Representation Analysis for Connected Embeddings
computer-vision data-science feature-extraction graphical-models image-processing latent-representations machine-learning neural-networks object-detection
Language:Jupyter Notebook 34
GHRS
hadoov / GHRS
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
autoencoder collaborative-filtering graph graphical-models hybrid recommendation-system recommender-system recsys
Language:Python 34
mschauer / Mitosis.jl
Automatic probabilistic programming for scientific machine learning and dynamical models
graphical-models markov-processes probabilistic-programming
Language:Julia 34
alan-turing-institute / PDSampler.jl
Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)
markov-chain-monte-carlo bayesian-inference sampling-methods graphical-models zig-zag-sampler bouncy-particle-sampler
Language:Julia 33