{"payload":{"header_redesign_enabled":false,"results":[{"id":"434178943","archived":false,"color":"#3572A5","followers":14,"has_funding_file":false,"hl_name":"zysxmu/FDDA","hl_trunc_description":"Pytorch implementation of our paper accepted by ECCV 2022-- Fine-grained Data Distribution Alignment for Post-Training Quantization","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":434178943,"name":"FDDA","owner_id":95413091,"owner_login":"zysxmu","updated_at":"2022-09-13T04:01:53.339Z","has_issues":true}},"sponsorable":false,"topics":["acceleration","compression","post-training-quantization"],"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":46,"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%253Azysxmu%252FFDDA%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/zysxmu/FDDA/star":{"post":"lT4JLTmQr3hPwp-EJEICensX_0iAavy6aGHK-pKnkKHgjp_eGeTjef3sjJx-KmHZityefvKS_5oSSA8ew5DxXQ"},"/zysxmu/FDDA/unstar":{"post":"eyUszQKmaD0KtEw4KS5MTqE1DJfTant5NwGpjCGhxdYejBbxqNccvxWZn7VmFsxv8vMz81952FdkRsT4w7g_nA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"c3d1u2MtcU2Y5QMVQIvCGJfoUTl1Z8lEQijzkKWrZ5FAjR8M2oEfNECjCo-Y-YMorQWOQlPywkUIO01_Mhq8Xg"}}},"title":"Repository search results"}