{"payload":{"header_redesign_enabled":false,"results":[{"id":"478581087","archived":false,"color":"#3572A5","followers":5,"has_funding_file":false,"hl_name":"adamavip/fatty_acid_nirs_model","hl_trunc_description":"Using near-infrared spectroscopy (NIRS) and machine learning to determine oleic acid content from peanut raw grains","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":478581087,"name":"fatty_acid_nirs_model","owner_id":13820842,"owner_login":"adamavip","updated_at":"2022-04-06T16:26:09.667Z","has_issues":true}},"sponsorable":false,"topics":["machine-learning","deep-learning","data-preprocessing","data-augmentation","nirs","plant-breeding"],"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":113,"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%253Aadamavip%252Ffatty_acid_nirs_model%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/adamavip/fatty_acid_nirs_model/star":{"post":"6Dg7I67z3c8Gtod24Ws7f0QT_7nodCzrDKDpZRjBb7Kn16-SzZQp-PpcjiATuJ4txJCQU24uva0wQmgxaHFNCQ"},"/adamavip/fatty_acid_nirs_model/unstar":{"post":"Ik_eQM0XQeo29dzr7pmQudOc43688aCctXGfX24PUmsEB23KCbo6Lp3BjCvuTsrB6nt3L5EmkxCORf36IOJwEQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"fffqnN1ScQdTkiF1oYsclfBOsaUsMpcmtoU4RZ562bGtMSnGrQsxsJJaYBsc5toHVr27a8sC_2um3WYKz4jKvg"}}},"title":"Repository search results"}