{"payload":{"header_redesign_enabled":false,"results":[{"id":"201527266","archived":false,"color":"#DA5B0B","followers":5,"has_funding_file":false,"hl_name":"miraep8/Minimal_IMAP_MCMC","hl_trunc_description":"Minimal IMAP MCMC is a rapid Bayesian approach to Causal Structure Learning. It is in Python. In collaboration with Tamara Broderick's la…","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":201527266,"name":"Minimal_IMAP_MCMC","owner_id":10511777,"owner_login":"miraep8","updated_at":"2019-09-23T16:55:17.694Z","has_issues":true}},"sponsorable":false,"topics":[],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":110,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253Amiraep8%252FMinimal_IMAP_MCMC%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/miraep8/Minimal_IMAP_MCMC/star":{"post":"3MW6W6W-oCdDDYNAFCFsfy4pPPHVt_6FZj1CBbMDtUpi1OWucn1yputGRYpxxb5-j3Yr70jYIucpAmXwsRa87w"},"/miraep8/Minimal_IMAP_MCMC/unstar":{"post":"ChI9R56_u6ruGteHoXikFATsWBDv7BJevL6FmmFIBmIrURu3K4286CVUo36M3cR8vV-rZppzHFzFZSvpPn9f_Q"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"eiq6L4yewF4VTNBn3qzT8ZDN3waY8DD3HYzrkP8KLkQrrMM3RbGW8UDePSVPQdDEh9wL39OXj5WTZ-xTilVlNw"}}},"title":"Repository search results"}