{"repository":{"description":"This toolkit consists of implementations of various graph-based semi-supervised learning (SSL) algorithms. Currently, three algorithms are implemented: Gaussian Random Fields (GRF), Adsorption, and Modified Adsorption (MAD). Junto also contains Hadoop-based implementations of these three algorithms.","homepage":"https://github.com/parthatalukdar/junto","watchers":31,"stargazers":31,"forks":10,"fork":false,"size":148,"owner":"parthatalukdar","private":false,"open_issues":1,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Java","created_at":"2011-12-26T21:00:16-08:00","pushed_at":"2013-04-19T23:24:35-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Akshay Bhat","company":"Cornell University","blog":"www.akshaybhat.com","location":"Ithaca USA","email":"69808c56e7a96b05579fcb2c83487635658d9208@gmail.com"},"url":"https://github.com/parthatalukdar/junto/issues/1#issuecomment-21197886"}