{"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":1,"stargazers":1,"forks":1,"fork":false,"size":380,"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":"2013-04-27T13:50:05-07:00","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/4685c691e8...7e7ac5ade2"}