{"payload":{"header_redesign_enabled":false,"results":[{"id":"130707894","archived":false,"color":"#3572A5","followers":43,"has_funding_file":false,"hl_name":"neuropoly/domainadaptation","hl_trunc_description":"Repository for the article \"Unsupervised domain adaptation for medical imaging segmentation with self-ensembling\".","language":"Python","mirror":false,"owned_by_organization":true,"public":true,"repo":{"repository":{"id":130707894,"name":"domainadaptation","owner_id":7755716,"owner_login":"neuropoly","updated_at":"2019-03-08T17:35:44.259Z","has_issues":true}},"sponsorable":true,"topics":["deep-learning","mri","medical-imaging","domain-adaptation"],"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":92,"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%253Aneuropoly%252Fdomainadaptation%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/neuropoly/domainadaptation/star":{"post":"LFs-MhTL_9dm6f55UT6AuqfsTT5IrvO4R1BjG3nlSv1AYUQAZI6v0LV_bcMLAqaxU2Dy0pArcmvs2pMKfG3fiw"},"/neuropoly/domainadaptation/unstar":{"post":"Dnb5HwrV1Ut5ahfwIsms6OXhF2kIezWl96sIppPVzmf-8v8r2rCkHfus9o0YTPJHHnasi23kWrXl9pKWPYHOsg"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"L5RxtM1i1p7wddPBItaA-hT_vzeVfHW5bGOwL0UKUbISsydqv-YEgQpMuIHVlpOF4MGIPg59MySynmTBYFnq7Q"}}},"title":"Repository search results"}