{"repository":{"description":"Efficient online variational Bayesian inference algorithms for common machine learning tasks.  Includes mixture models (like GMMs) and admixture models (like LDA).  Implemented in Python.","watchers":0,"stargazers":0,"forks":0,"fork":false,"size":2880,"owner":"michaelchughes","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Python","created_at":"2013-01-24T18:11:24-08:00","pushed_at":"2013-03-05T07:29:27-08:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Mike Hughes","company":"PhD student at Brown University","blog":"web.michaelchughes.com","email":"a17fed27eaa842282862ff7c1b9c8395a26ac320@michaelchughes.com"},"url":"https://github.com/michaelchughes/MLRaptor/compare/1fdfae8ded...ab1dc78b36"}