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pgmpy avatar

pgmpy/pgmpy

0
View on GitHub↗
3,277 stars·1,127 forks·Python·MIT·22 viewspgmpy.org↗

Pgmpy

Python Toolkit for Causal and Probabilistic Reasoning

Features

  • General Machine Learning - Library for probabilistic graphical models.
  • Machine Learning - A Python library for probabilistic graphical models and Bayesian networks.
  • Probabilistic Modeling - Library for working with Probabilistic Graphical Models.
  • Statistical Modeling - Probabilistic and causal inference using graphical models.

Star history

Star history chart for pgmpy/pgmpyStar history chart for pgmpy/pgmpy

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Frequently asked questions

What does pgmpy/pgmpy do?

Python Toolkit for Causal and Probabilistic Reasoning

What are the main features of pgmpy/pgmpy?

The main features of pgmpy/pgmpy are: General Machine Learning, Machine Learning, Probabilistic Modeling, Statistical Modeling.

What are some open-source alternatives to pgmpy/pgmpy?

Open-source alternatives to pgmpy/pgmpy include: jmschrei/pomegranate — Fast, flexible and easy to use probabilistic modelling in Python. dswah/pygam — [CONTRIBUTORS WELCOME] Generalized Additive Models in Python. arviz-devs/arviz — Exploratory analysis of Bayesian models with Python. aksnzhy/xlearn — High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization… aimhubio/aim — Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces.… amazaspshumik/sklearn-bayes — Python package for Bayesian Machine Learning with scikit-learn API.

Open-source alternatives to Pgmpy

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