{"repository":{"description":"Long Short Term Memory nodes with Optimal Ordering Problem Solver training allows reinforcement learning models for LSTM networks using fitness or reward metrics.","watchers":1,"stargazers":1,"forks":0,"fork":false,"size":472,"owner":"gau-veldt","private":false,"open_issues":0,"has_issues":true,"has_downloads":true,"has_wiki":true,"language":"Python","created_at":"2013-07-10T14:34:50-07:00","pushed_at":"2013-07-16T01:09:51-07:00","master_branch":"master"},"actor_attributes":{"type":"User","name":"Albert Zeyer","blog":"http://www.az2000.de","location":"Aachen, Germany","email":"580bb1c308fbffa0cff1cc87f87d393b8c2d1a0e@gmail.com"},"url":"https://github.com/gau-veldt/LSTM_OOPS"}