{"payload":{"header_redesign_enabled":false,"results":[{"id":"804552816","archived":false,"color":"#3572A5","followers":0,"has_funding_file":false,"hl_name":"gmum/HyperInterval","hl_trunc_description":"HyperInterval: Hypernetwork approach to training weight interval regions in continual learning","language":"Python","mirror":false,"owned_by_organization":true,"public":true,"repo":{"repository":{"id":804552816,"name":"HyperInterval","owner_id":5064513,"owner_login":"gmum","updated_at":"2024-05-28T14:58:23.509Z","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":98,"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%253Agmum%252FHyperInterval%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/gmum/HyperInterval/star":{"post":"CH1AmUmwZNPAiss0mjBnKmypIFW9ICM1kpclq8IbyVBkbZcN_SvY68NhEEu6-Ef3IqsDOkwQyBPRd7AmPSpneQ"},"/gmum/HyperInterval/unstar":{"post":"W-ect61tsMbc9DO8JAOmArXzQjyUcj8sl0DER8Riae7M9O3sNoIxriFn0pvfT1lYDRttbEMPPFaymJq9iYfW-A"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"q8hnqfvOcrbf2uJdw5WRm1DeRzgwiEVQUzmL0BaUfrIwT3S2uQzQ4Dr0rNVI_ZQMBUqWDh0Q0iCpXq3dSMlMGg"}}},"title":"Repository search results"}