{"payload":{"header_redesign_enabled":false,"results":[{"id":"545595027","archived":false,"color":"#3572A5","followers":935,"has_funding_file":false,"hl_name":"gcorso/DiffDock","hl_trunc_description":"Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":545595027,"name":"DiffDock","owner_id":22794353,"owner_login":"gcorso","updated_at":"2024-05-06T18:32:18.794Z","has_issues":true}},"sponsorable":false,"topics":["machine-learning","binding","computational-biology","docking","non-euclidean-geometry","equivariance","diffusion-models","score-based-models"],"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":139,"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%253Agcorso%252FDiffDock%2B%2Blanguage%253APython","metadata":null,"csrf_tokens":{"/gcorso/DiffDock/star":{"post":"6lHq4hbTvFZvl9tONHEMW5QrlCqft636OnUyX6O9GhKK8Fz1_FgRVoY7a29cHLRBFfb-Of3xAA2MfoLIU5wZjg"},"/gcorso/DiffDock/unstar":{"post":"AqFlyb1YWb0FYr3wKXq10b5bcF1-rmUvwq1VGktD_aKBpyy0H-NyWDegxntZ4T7ZABEEkNM6sQs3bjT_Bwhn3A"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"uUyCFGt73jVdezAnsnPu3v7tmZPF3hkeznfveWQDK_qVbY6OX0xlB47ILreA2HKtG2m-7UIRv6MSUXhVJtb34A"}}},"title":"Repository search results"}