{"payload":{"header_redesign_enabled":false,"results":[{"id":"197372529","archived":false,"color":null,"followers":2578,"has_funding_file":false,"hl_name":"subeeshvasu/Awesome-Learning-with-Label-Noise","hl_trunc_description":"A curated list of resources for Learning with Noisy Labels","language":null,"mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":197372529,"name":"Awesome-Learning-with-Label-Noise","owner_id":16014915,"owner_login":"subeeshvasu","updated_at":"2024-05-03T10:22:18.231Z","has_issues":true}},"sponsorable":false,"topics":["deep-neural-networks","noisy-data","label-noise","noisy-labels","unreliable-labels","robust-learning"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"353641610","archived":false,"color":null,"followers":525,"has_funding_file":false,"hl_name":"songhwanjun/Awesome-Noisy-Labels","hl_trunc_description":"A Survey","language":null,"mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":353641610,"name":"Awesome-Noisy-Labels","owner_id":10972556,"owner_login":"songhwanjun","updated_at":"2023-02-13T01:32:00.500Z","has_issues":true}},"sponsorable":false,"topics":[],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"72859267","archived":false,"color":"#DA5B0B","followers":119,"has_funding_file":false,"hl_name":"udibr/noisy_labels","hl_trunc_description":"TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":72859267,"name":"noisy_labels","owner_id":608789,"owner_login":"udibr","updated_at":"2017-04-25T21:20:11.174Z","has_issues":true}},"sponsorable":false,"topics":[],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"43726894","archived":false,"color":"#3572A5","followers":115,"has_funding_file":false,"hl_name":"Cysu/noisy_label","hl_trunc_description":"Code for the CVPR15 paper \"Learning from Massive Noisy Labeled Data for Image Classification\"","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":43726894,"name":"noisy_label","owner_id":1159230,"owner_login":"Cysu","updated_at":"2019-02-06T19:35:01.726Z","has_issues":true}},"sponsorable":false,"topics":[],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"96199030","archived":false,"color":"#3572A5","followers":1002,"has_funding_file":false,"hl_name":"AlfredXiangWu/LightCNN","hl_trunc_description":"A Light CNN for Deep Face Representation with Noisy Labels, TIFS 2018","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":96199030,"name":"LightCNN","owner_id":6490849,"owner_login":"AlfredXiangWu","updated_at":"2022-02-09T07:09:29.198Z","has_issues":true}},"sponsorable":false,"topics":["pytorch","face-recognition","lightcnn"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"357807587","archived":false,"color":null,"followers":632,"has_funding_file":false,"hl_name":"weijiaheng/Advances-in-Label-Noise-Learning","hl_trunc_description":"A curated (most recent) list of resources for Learning with Noisy Labels","language":null,"mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":357807587,"name":"Advances-in-Label-Noise-Learning","owner_id":31925750,"owner_login":"weijiaheng","updated_at":"2024-02-29T03:09:56.589Z","has_issues":true}},"sponsorable":false,"topics":["deep-neural-networks","deep-learning","conference","paper","weakly-supervised-learning","robustness","international-conference","noisy-data","label-noise","robust-machine-learning","noisy-labels","noisy-label-learning","learning-with-noisy-labels","unreliable-labels","robust-learning","learning-with-label-noise"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"144607074","archived":true,"color":"#3572A5","followers":320,"has_funding_file":false,"hl_name":"google/mentornet","hl_trunc_description":"Code for MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks","language":"Python","mirror":false,"owned_by_organization":true,"public":true,"repo":{"repository":{"id":144607074,"name":"mentornet","owner_id":1342004,"owner_login":"google","updated_at":"2023-03-25T00:03:02.159Z","has_issues":true}},"sponsorable":false,"topics":["google","deep-learning","label","noisy-data","noisy"],"type":"Public archive","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"226804485","archived":false,"color":null,"followers":235,"has_funding_file":false,"hl_name":"gorkemalgan/deep_learning_with_noisy_labels_literature","hl_trunc_description":"This repo consists of collection of papers and repos on the topic of deep learning by noisy labels / label noise.","language":null,"mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":226804485,"name":"deep_learning_with_noisy_labels_literature","owner_id":26520871,"owner_login":"gorkemalgan","updated_at":"2021-09-20T05:53:22.147Z","has_issues":true}},"sponsorable":false,"topics":[],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"206946185","archived":false,"color":"#3572A5","followers":168,"has_funding_file":false,"hl_name":"YisenWang/symmetric_cross_entropy_for_noisy_labels","hl_trunc_description":"Code for ICCV2019 \"Symmetric Cross Entropy for Robust Learning with Noisy Labels\"","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":206946185,"name":"symmetric_cross_entropy_for_noisy_labels","owner_id":23697768,"owner_login":"YisenWang","updated_at":"2021-06-16T12:23:50.666Z","has_issues":true}},"sponsorable":false,"topics":["cross-entropy-loss","noisy-labels","iccv2019"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false},{"id":"184867519","archived":false,"color":"#3572A5","followers":89,"has_funding_file":false,"hl_name":"chenpf1025/noisy_label_understanding_utilizing","hl_trunc_description":"ICML 2019: Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels","language":"Python","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":184867519,"name":"noisy_label_understanding_utilizing","owner_id":33961345,"owner_login":"chenpf1025","updated_at":"2020-12-10T07:09:12.838Z","has_issues":true}},"sponsorable":false,"topics":["robust","icml","noisy-labels"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":53,"elapsed_millis":210,"errors":[],"result_count":526,"facets":[{"kind":"FACET_KIND_LANGUAGE","entries":[{"name":"Python","language_color":"#3572A5","query":"language:Python"},{"name":"Jupyter Notebook","language_color":"#DA5B0B","query":"language:Jupyter Notebook"},{"name":"MATLAB","language_color":"#e16737","query":"language:MATLAB"},{"name":"HTML","language_color":"#e34c26","query":"language:HTML"},{"name":"C++","language_color":"#f34b7d","query":"language:C++"},{"name":"R","language_color":"#198CE7","query":"language:R"},{"name":"C","language_color":"#555555","query":"language:C"},{"name":"CSS","language_color":"#563d7c","query":"language:CSS"},{"name":"Fortran","language_color":"#4d41b1","query":"language:Fortran"},{"name":"Java","language_color":"#b07219","query":"language:Java"}]}],"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%3Fp%3D1%26q%3Dnoisy%2Blabel%26type%3DRepositories%26utf8%3D%25E2%259C%2593","metadata":null,"csrf_tokens":{"/subeeshvasu/Awesome-Learning-with-Label-Noise/star":{"post":"om3OjdHPPElBUp8wa_Eg4fEqSAUw-GVrS_Tzce1LhUlrvQrl5jhectQX6QbTZYzGJ0Zsdl_G_pZeLcn_cTS9iw"},"/subeeshvasu/Awesome-Learning-with-Label-Noise/unstar":{"post":"WbNVDOwNKUFK__tYDmnV7T8ZQ9iSZCmM19PiP-B_hANoZjOuXe6cnKQH43TEVx9Ri_1bLLG5wWiKXkrQCE61Hw"},"/songhwanjun/Awesome-Noisy-Labels/star":{"post":"W32D_3DHZAD7CzrfbvX6sWa9tJdFa7I5422VKniiBt_1-rvQU3qvrmMA9JzTiBnWFvdQNPfdyNiHC4-dI9P6Aw"},"/songhwanjun/Awesome-Noisy-Labels/unstar":{"post":"7JLG1Qtie9Mo4-aaunX9yqfpPdMdrIUFBqK-SXAhjAaFqiPrXf_3Qc5LNoC3mhPhuZZMB1G27BWe7VFwz3Xl9Q"},"/udibr/noisy_labels/star":{"post":"TS_HZ1bhEj_lzjdAZ1tkZk3_xq32SgwcfrN4GrSZwu_RAUA5ztubvDUf2J67Pq0O8ok1QInMDKn4IYYwh7eyyA"},"/udibr/noisy_labels/unstar":{"post":"DRaG3VCGXr1OYfJIa3ip0yVubcJFaESweNyGTQ__lMX1KIzO9aYML5mOeRHuj-Lp4JKOSZgPwKr_UKGI13Zimw"},"/Cysu/noisy_label/star":{"post":"6np7RND-wkieuoeJFmTbidMli0EkhCequO5IxdCwyUltWiVVCC_7FMGi9hAGAWuWHZmtBAs2baqPSg-NdOW1vw"},"/Cysu/noisy_label/unstar":{"post":"EwnqXYsfNCAh7PScGZzOHvzekBWKdjrHQUU7dynNa1hnzIzlnviMU-5Ev1tPFqa3QKAFPZCj39qOWrdf0bm5Wg"},"/AlfredXiangWu/LightCNN/star":{"post":"FFD_U3j6pkC4xn84pZU-og7eqFO3ACO4xtIAGzEkRabxsIfJsuRCN_dJ6CRFFgd7wNjf5XFs1c5OGcI63yHWtA"},"/AlfredXiangWu/LightCNN/unstar":{"post":"k8HACbbaoL8KRULnNCMDwVdmErIVXxxjk6KVaEhNms6C19WUW5vqkptg8R75ORk8SHbPqjNszscEULTCjK5lHw"},"/weijiaheng/Advances-in-Label-Noise-Learning/star":{"post":"KzZZxrtzAEAftNsBJCRNUOlLTdfmkc6Fre-o3a5g62H7JPqnHLzLROrtjm-bGQMc6uA5AfgNFD3Z6Pw-5IOcfA"},"/weijiaheng/Advances-in-Label-Noise-Learning/unstar":{"post":"iDfW7JfyQs5_i88EECEdQ0aXuFQL-FhFW_SUM2lcnw0_2TbZSghAMFKAhYXflGYn0gBOi0-GohHeWGQxu1x0YQ"},"/google/mentornet/star":{"post":"ociG12EgdlIYjFrAkn3_FWpAKIzZGgQ5Nu4xA9gNv3BqU0fVa39ocybmBg9j2xjwESXM298yOtUz3GxCBpiq2w"},"/google/mentornet/unstar":{"post":"bNr0hEJXoUCMelQlT7UgPjsopf-7m-RC7GsKgdrZehO8oJoSINAgFr9yj1DWhZgkCjze9K1ovXwcBVOZB6ZaRA"},"/gorkemalgan/deep_learning_with_noisy_labels_literature/star":{"post":"XA_dsuWmuwdMh9VhGw1j7u6M0Cv_Sk2H629VZSLGTlEuG-srENtqzYkIQsClMy0QJP5t1IZi6jaWKqib7oKsNw"},"/gorkemalgan/deep_learning_with_noisy_labels_literature/unstar":{"post":"SqwrYkP_0jDnONxL5ST6Fq_MtMUdRXBwutiCwwuSQpYsl_OZhzkpG9dGJ_SabidDeZROnwNXdobxRdyExonFGQ"},"/YisenWang/symmetric_cross_entropy_for_noisy_labels/star":{"post":"khYeYIK5rIM0VZNiivvn-eyv-WUMFpH9NWVPZ1h9GR1BEUdkwXx4AdljIHVfngPiDZeooBJf3dqUbJ-2daXp1A"},"/YisenWang/symmetric_cross_entropy_for_noisy_labels/unstar":{"post":"bgZHjVxmdHLJ44LoUqj1OiL9aN24xffrjUV9aujWhjuonFHMf_59bPA-D2fI5yeu_tJotGeBLM9VGn_y-Q0O5g"},"/chenpf1025/noisy_label_understanding_utilizing/star":{"post":"lY3MhXfi4DVRSt2IrQ8Coa-w-srLgF0rQNjkfyPxyHzcGvnM6J5R7GddQ68INj4L3I2df6zFdeknYowt-zhzaQ"},"/chenpf1025/noisy_label_understanding_utilizing/unstar":{"post":"FS6EhOQaJgfnBiwWJzhF3eIhJxVDNvKuBxJGQnwE1QbYAMzyDqzhkdii16BlMW33JBQBcLF2mEhQ6vxBw68Nfg"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"czO1FHyAYr_1FD0LbVYcRfstOYY2L19JWV-CedXt2FemmpXFv2Ns_HRqPrBOrZKOA0bftuBt9W__cbJpaqTW_w"}}},"title":"Repository search results"}