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24 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

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

Input Output Hidden Markov Model (IOHMM) in Python

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

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"

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.

Private Data Generation ⭐ 32

A toolbox for differentially private data generation

A Python package for General Graphical Lasso computation

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

Conditional Random Fields

Junction Tree ⭐ 10

The junction tree algorithm for (discrete) factor graphs

Python toolbox for graphical models

Pythonbrmltoolbox ⭐ 10

Python 3.7 version of David Barber's MATLAB BRMLtoolbox

Vgraph Pytorch ⭐ 7

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

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

Evaluating dependencies among random variables.

Graphtime ⭐ 5

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

Implementation of Layered Graphical Model with demo code

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