{"id":13525914,"url":"https://github.com/udibr/noisy_labels","last_synced_at":"2025-04-01T06:30:41.547Z","repository":{"id":38428189,"uuid":"72859267","full_name":"udibr/noisy_labels","owner":"udibr","description":"TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER","archived":false,"fork":false,"pushed_at":"2017-04-25T21:20:11.000Z","size":898,"stargazers_count":118,"open_issues_count":4,"forks_count":38,"subscribers_count":6,"default_branch":"master","last_synced_at":"2024-11-02T10:34:05.442Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/udibr.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-11-04T15:17:56.000Z","updated_at":"2024-09-13T04:59:13.000Z","dependencies_parsed_at":"2022-08-18T07:21:15.960Z","dependency_job_id":null,"html_url":"https://github.com/udibr/noisy_labels","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/udibr%2Fnoisy_labels","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/udibr%2Fnoisy_labels/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/udibr%2Fnoisy_labels/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/udibr%2Fnoisy_labels/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/udibr","download_url":"https://codeload.github.com/udibr/noisy_labels/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246596556,"owners_count":20802844,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-08-01T06:01:23.466Z","updated_at":"2025-04-01T06:30:40.965Z","avatar_url":"https://github.com/udibr.png","language":"Jupyter Notebook","funding_links":[],"categories":["Uncategorized","Jupyter Notebook","Github"],"sub_categories":["Uncategorized"],"readme":"# noisy_labels\n\u003ca target=\"_blank\" href=\"http://twitter.com/udibr\"\u003e\u003cimg alt='Twitter followers' src=\"https://img.shields.io/twitter/follow/udibr.svg?style=social\"\u003e\u003c/a\u003e\n\nTRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER\n[ICLR 2017 conference submission](http://openreview.net/forum?id=H12GRgcxg)\n\nLearning MNIST when almost half the labels are permuted in a fixed way. For example, when the task of labeling is split between two people that don’t agree.\n\nFollow [mnist-simple](./mnist-simple.ipynb) notebook for an example of how to implement the Simple noise adaption layer in the paper with a single customized Keras layer.\nFollow [161103-run-plot](./161103-run-plot.ipynb), [161202-run-plot-cifar100](./161202-run-plot-cifar100.ipynb) and [161230-run-plot-cifar100-sparse](./161230-run-plot-cifar100-sparse.ipynb) notebooks for how to reproduce the results of the paper.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudibr%2Fnoisy_labels","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fudibr%2Fnoisy_labels","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fudibr%2Fnoisy_labels/lists"}