{"payload":{"header_redesign_enabled":false,"results":[{"id":"205512270","archived":false,"color":"#3572A5","followers":772,"has_funding_file":false,"hl_name":"vandit15/Class-balanced-loss-pytorch","hl_trunc_description":"Pytorch implementation of the paper \"Class-Balanced Loss Based on Effective Number of Samples\"","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":205512270,"name":"Class-balanced-loss-pytorch","owner_id":16348732,"owner_login":"vandit15","updated_at":"2024-02-18T05:57:18.078Z","has_issues":true}},"sponsorable":false,"topics":["computer-vision","deep-learning","pytorch","loss-functions","cvpr2019"],"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":62,"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%253Avandit15%252FClass-balanced-loss-pytorch%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/vandit15/Class-balanced-loss-pytorch/star":{"post":"DkXbKTL45839y5F0QA6DPaN7vl4UF1UCFCphiREA6eNT09IrsezHpoVRLgV4dzLOLxN-JIq-h39hj18lSfQsWg"},"/vandit15/Class-balanced-loss-pytorch/unstar":{"post":"iL8bFjuF3eY1C4x75zIvOiTeEmWzfu06cPqIV3lVwySkE3P7rKTUsiBCjMbHTHh5R62cisVduSLlHTCW4JUIxA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"gRQucOxqvT-18bvmxyXqVivbL0-e_8Ld9FaaupDOfihk2hhqNUBt2UffTzhcUlGXnM11rnD3eILbIrvVad-rYQ"}}},"title":"Repository search results"}