{"payload":{"header_redesign_enabled":false,"results":[{"id":"769820715","archived":false,"color":"#3572A5","followers":7,"has_funding_file":false,"hl_name":"hao1635/LEDA","hl_trunc_description":"Official implementation of \"Low-dose CT Denoising with Language-engaged Dual-space Alignment\"","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":769820715,"name":"LEDA","owner_id":61267697,"owner_login":"hao1635","updated_at":"2024-03-25T12:39:11.439Z","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":87,"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%253Ahao1635%252FLEDA%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/hao1635/LEDA/star":{"post":"JuzvK3NgaCj1nWo6W_aoB8kWjrdTJC9Rg2wfTULgRxPoyLmd_rPbGHluvkjApUaNd94E1N6DSC8MAhJuMpujzw"},"/hao1635/LEDA/unstar":{"post":"MBhBn43xOVsKQrAx0Qf6-zC2kbTeEliEibkTSDOgOIP2LAYb97MSgV95OKXj00qqVQO4_h-QmwWv-6404knXUQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"PvZRxt-ahhTANDMxELGQcRgHsGjnQnBJaUBw8St3UPM1hWDoCUofz6bEvZ4ZOLwkJDE7R05vut2jL1BaAzx8Kw"}}},"title":"Repository search results"}