{"payload":{"header_redesign_enabled":false,"results":[{"id":"685941585","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"Schimidt99/SECITEC2023","hl_trunc_description":"Modeling Organic Chemical Reactions through the use of Machine Learning","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":685941585,"name":"SECITEC2023","owner_id":38674853,"owner_login":"Schimidt99","updated_at":"2023-09-02T19:35:44.113Z","has_issues":true}},"sponsorable":false,"topics":["machine-learning","chemaxon","rdkit-chem"],"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":86,"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%253ASchimidt99%252FSECITEC2023%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"warn_limited_results":false,"csrf_tokens":{"/Schimidt99/SECITEC2023/star":{"post":"uXsHY3hP2d0-AS9Fb6SzNSK49L3OMQ0ncEA6FgNmn2VME6zx-fkB8Eg9GXTyuCIII183I0IfVKXmsKmrUB4HZg"},"/Schimidt99/SECITEC2023/unstar":{"post":"gr4EL0WhgR5nRhAYZzarbChA57P5Ew3A6rt2Mb5KU3EwyHyLqvJlBUvo23ebRs2XmoMYuXjPzVa2OB6yzivvbg"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"egXlCZMAo2NwgPJ5NKzCpIX_q8sC4Erz4Gp4Offt8FCDnrLqEekQKaosqedR8P7_nZwKOV5FWHll_Oj9cKo4IA"}}},"title":"Repository search results"}