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69 search results found

Dowhy ⭐ 6,730

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.

Zhusuan ⭐ 2,139

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

Deep Generative Models For Natural Language Processing ⭐ 330

DGMs for NLP. A roadmap.

Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

Auton Survival ⭐ 271

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

Scikit-learn compatible estimation of general graphical models

Robopy is a python port for Robotics Toolbox in Matlab created by Peter Corke

Graphical language server platform for building web-based diagram editors

Input Output Hidden Markov Model (IOHMM) in Python

Factored inference for discrete-continuous smoothing and mapping.

Celeste.jl ⭐ 124

Scalable inference for a generative model of astronomical images

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

Toolbox ⭐ 104

A Java Toolbox for Scalable Probabilistic Machine Learning

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

Kalman Variational Auto-Encoder

Deep Markov Models

Repository for the OpenMx Structural Equation Modeling package

LoMRF is an open-source implementation of Markov Logic Networks

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"

Spatially Conditioned Graphs ⭐ 56

Official PyTorch implementation for ICCV 2021 paper "Spatially Conditioned Graphs for Detecting Human–Object Interactions"

Pyautofit ⭐ 54

PyAutoFit: Classy Probabilistic Programming

Benchpress ⭐ 52

A Snakemake workflow to run and benchmark structure learning (a.k.a. causal discovery) algorithms for probabilistic graphical models.

Neuralfactorgraph ⭐ 50

This repo contains the code for the paper Neural Factor Graph Models for Cross-lingual Morphological Tagging.

Glsp Client ⭐ 38

Web-based client framework of the graphical language server platform

Sparsebn ⭐ 37

Software for learning sparse Bayesian networks

Crfsuite ⭐ 36

Tree-Structured, First- and Higher-Order Linear Chain, and Semi-Markov CRFs

Graphical Lsp ⭐ 36

Graphical language server platform for building web-based diagram editors

Glsp Examples ⭐ 35

Example diagram editors built with Eclipse GLSP

Graph Representation Analysis for Connected Embeddings

Private Data Generation ⭐ 32

A toolbox for differentially private data generation

Mitosis.jl ⭐ 31

Automatic probabilistic programming for scientific machine learning and dynamical models

Glsp Server ⭐ 31

Java-based server framework of the graphical language server platform

A Python package for General Graphical Lasso computation

Pdsampler.jl ⭐ 26

Piecewise Deterministic Sampler library (Bouncy particle sampler, Zig Zag sampler, ...)

Easy Factor Graph ⭐ 24

General purpose C++ library for managing discrete factor graphs

REGAIN (Regularised Graphical Inference)

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

Markov random fields with covariates

Graphicalmodellearning.jl ⭐ 18

Algorithms for Learning Graphical Models

Belief Propagation ⭐ 17

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

Statnlp Framework ⭐ 17

C++ based implementation of StatNLP framework

Invariantcausal.jl ⭐ 17

Causal Inference with Invariant Prediction

Tutorial Ugm Hyperspectral ⭐ 17

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

Glsp Theia Integration ⭐ 16

Integration of the web-based GLSP client with Eclipse Theia

◽ <- ⚪ Structural Equation Modeling from a broader context.

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

Conditional Random Fields

Modeling tool for generating graphical modeling environments.

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Python toolbox for graphical models

Junction Tree ⭐ 10

The junction tree algorithm for (discrete) factor graphs

Network inference by fusing data from diverse distributions

Glsp Server Node ⭐ 10

Node-based server framework of the graphical language server platform

Inference in Bayesian Networks with R

pulsar: Parallel Utilities for Lambda Selection along a Regularization Path

Rags2ridges ⭐ 7

Get ridge or die trying - 2 cents

Vgraph Pytorch ⭐ 7

Implementation of the paper "vGraph: A Generative Model For Joint Community Detection and Node Representational Learning" under NeurIPS Reproducibility challenge 2019

An R Package for Estimating Time-Varying Graphical Models

Bayesian Bricks ⭐ 6

Basic building blocks in Bayesian statistics.

GHRS: Graph-based hybrid recommendation system with application to movie recommendation

Ccdralgorithm ⭐ 5

Structure learning for Bayesian networks using the CCDr algorithm.

Randomized Dynamic Programming

Deepnotebooks ⭐ 5

DeepNotebooks is an automated statistical analysis tool build on top of SPNs. They are currently being developed by Claas Völcker at the ML group at TU Darmstadt.

Graphical_model_learning ⭐ 5

Learning graphical models, with a focus on causal models and learning from interventional data.

Implementation of Layered Graphical Model with demo code

Awesome Machine Learning ⭐ 5

Learning tutorial for machine learning beginners

Graphtime ⭐ 5

A Package for Dynamic Graphical Model Estimation. Future versions in R coming soon

Evaluating dependencies among random variables.

1-69 of 69 search results

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