{"payload":{"header_redesign_enabled":false,"results":[{"id":"104759715","archived":false,"color":"#DA5B0B","followers":11,"has_funding_file":false,"hl_name":"pratik18v/sst","hl_trunc_description":"My implementation (PyTorch) for the paper SST: Single-Stream Temporal Action Proposals (<a href=\"http://vision.stanford.edu/pdf/buch2017cvpr.pdf\" rel=\"nofollow\">http://vision.stanford.edu/pdf/buch2017cvpr.pdf</a>).","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":104759715,"name":"sst","owner_id":8040418,"owner_login":"pratik18v","updated_at":"2022-12-08T00:35:41.139Z","has_issues":true}},"sponsorable":false,"topics":["deep-learning","pytorch","video-understanding","action-detection","temporal-activity-localization","temporal-action-proposals"],"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":112,"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%253Apratik18v%252Fsst%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/pratik18v/sst/star":{"post":"s5cbMaI74cZ421lIqwgSRmVTdfMyu91kO4p-_k0Kg2hqsDwkYFR8jIzYPIbHJZaAflIo5DBRIDZQJXQLWg6B0Q"},"/pratik18v/sst/unstar":{"post":"32TYehBOGdbOUyC-8WRtEFwrzzC48t0K5Qu3E5FHlz5OERrP2l2TjFZ9Y3LL44SxDhQFlj8HtZ9D73MCvTCFEA"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"deHQFkNZkrXBE6Vx70JYmb4L8DzkoX1kvA59au859ZrmprZk22AFjbHON0VIu82Fw1L0hjmHCbViL3NsuLxuqQ"}}},"title":"Repository search results"}