{"id":13429799,"url":"https://github.com/shubhomoydas/ad_examples","last_synced_at":"2025-03-16T04:31:18.217Z","repository":{"id":26636237,"uuid":"109418434","full_name":"shubhomoydas/ad_examples","owner":"shubhomoydas","description":"A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.","archived":false,"fork":false,"pushed_at":"2024-05-22T02:17:55.000Z","size":131520,"stargazers_count":844,"open_issues_count":2,"forks_count":185,"subscribers_count":37,"default_branch":"master","last_synced_at":"2024-10-27T08:37:26.150Z","etag":null,"topics":["active-learning","adversarial-attacks","anogan","anomaly-detection","autoencoder","concept-drift","ensemble-learning","explaination","gan","generative-adversarial-network","graph-convolutional-networks","interpretability","lstm","nettack","rnn","streaming","time-series","timeseries","trees","unsuperivsed"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/shubhomoydas.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2017-11-03T16:30:18.000Z","updated_at":"2024-10-08T07:48:48.000Z","dependencies_parsed_at":"2022-08-28T07:52:07.320Z","dependency_job_id":"b942517b-fa0a-4088-92ba-5acf26daad9c","html_url":"https://github.com/shubhomoydas/ad_examples","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/shubhomoydas%2Fad_examples","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shubhomoydas%2Fad_examples/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shubhomoydas%2Fad_examples/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shubhomoydas%2Fad_examples/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shubhomoydas","download_url":"https://codeload.github.com/shubhomoydas/ad_examples/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243826788,"owners_count":20354220,"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":["active-learning","adversarial-attacks","anogan","anomaly-detection","autoencoder","concept-drift","ensemble-learning","explaination","gan","generative-adversarial-network","graph-convolutional-networks","interpretability","lstm","nettack","rnn","streaming","time-series","timeseries","trees","unsuperivsed"],"created_at":"2024-07-31T02:00:45.686Z","updated_at":"2025-03-16T04:31:13.205Z","avatar_url":"https://github.com/shubhomoydas.png","language":"Python","funding_links":[],"categories":["Tools and Algorithms"],"sub_categories":[],"readme":null,"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubhomoydas%2Fad_examples","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshubhomoydas%2Fad_examples","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshubhomoydas%2Fad_examples/lists"}