From 5aaebe5205973ab218f07c9082906618d7f56af4 Mon Sep 17 00:00:00 2001 From: Utkarsh Date: Sun, 3 Jan 2016 18:02:17 +0530 Subject: [PATCH] Added pgmpy Added pgmpy in python general purpose machine learning section. It supports Bayesian learning, Dynamic Bayesian networks and markov random field models ( along with additional stuffs). --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index b016f6a..c94863f 100644 --- a/README.md +++ b/README.md @@ -702,6 +702,7 @@ on MNIST digits[DEEP LEARNING] * [Annoy](https://github.com/spotify/annoy) - Approximate nearest neighbours implementation * [skflow](https://github.com/google/skflow) - Simplified interface for TensorFlow, mimicking Scikit Learn. * [TPOT](https://github.com/rhiever/tpot) - Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning. +* [pgmpy](https://github.com/pgmpy/pgmpy) A python library for working with Probabilistic Graphical Models. #### Data Analysis / Data Visualization