[PR #2962] [MERGED] Add pgmpy #6670

New Issue

GiteaMirror · 2026-04-17T07:36:27-05:00

GiteaMirror commented

2026-04-17 07:36:27 -05:00

📋 Pull Request Information

Original PR: https://github.com/vinta/awesome-python/pull/2962
Author: @Ashi-tha
Created: 3/15/2026
Status: ✅ Merged
Merged: 3/16/2026
Merged by: @JinyangWang27

Base: master ← Head: add-pgmpy-library

📝 Commits (1)

9eb21b2 Add pgmpy library to Machine Learning section

📊 Changes

1 file changed (+1 additions, -0 deletions)

View changed files

📝 README.md (+1 -0)

📄 Description

Project

pgmpy

Checklist

One project per PR
PR title format: Add project-name
Entry format: * [project-name](url) - Description ending with period.
Description is concise and short

Why This Project Is Awesome

Which criterion does it meet? (pick one)

Industry Standard - The go-to tool for a specific use case
Rising Star - 5000+ stars in < 2 years, significant adoption
Hidden Gem - Exceptional quality, solves niche problems elegantly

Explain:

pgmpy is a Python library for probabilistic graphical models such as Bayesian Networks and Markov Networks. It provides tools for learning, inference, and probabilistic reasoning used in machine learning and AI research.

How It Differs

While many Python machine learning libraries focus on deep learning or traditional ML algorithms, pgmpy focuses specifically on probabilistic graphical models and Bayesian networks, enabling reasoning under uncertainty and causal modeling.

_{🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.}

## 📋 Pull Request Information **Original PR:** https://github.com/vinta/awesome-python/pull/2962 **Author:** [@Ashi-tha](https://github.com/Ashi-tha) **Created:** 3/15/2026 **Status:** ✅ Merged **Merged:** 3/16/2026 **Merged by:** [@JinyangWang27](https://github.com/JinyangWang27) **Base:** `master` ← **Head:** `add-pgmpy-library` --- ### 📝 Commits (1) - [`9eb21b2`](https://github.com/vinta/awesome-python/commit/9eb21b268e8c4558dd134964f124c1d0529e1e14) Add pgmpy library to Machine Learning section ### 📊 Changes **1 file changed** (+1 additions, -0 deletions) <details> <summary>View changed files</summary> 📝 `README.md` (+1 -0) </details> ### 📄 Description ## Project [pgmpy](https://github.com/pgmpy/pgmpy) ## Checklist - [x] One project per PR - [x] PR title format: `Add project-name` - [x] Entry format: `* [project-name](url) - Description ending with period.` - [x] Description is concise and short ## Why This Project Is Awesome Which criterion does it meet? (pick one) - [ ] **Industry Standard** - The go-to tool for a specific use case - [ ] **Rising Star** - 5000+ stars in < 2 years, significant adoption - [x] **Hidden Gem** - Exceptional quality, solves niche problems elegantly Explain: pgmpy is a Python library for probabilistic graphical models such as Bayesian Networks and Markov Networks. It provides tools for learning, inference, and probabilistic reasoning used in machine learning and AI research. ## How It Differs While many Python machine learning libraries focus on deep learning or traditional ML algorithms, pgmpy focuses specifically on probabilistic graphical models and Bayesian networks, enabling reasoning under uncertainty and causal modeling. --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>

GiteaMirror added the pull-request label 2026-04-17 07:36:27 -05:00

GiteaMirror closed this issue

2026-04-17 07:36:28 -05:00

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Reference: github-starred/awesome-python#6670