{"id":22364718,"url":"https://github.com/hmjianggatech/esmote","last_synced_at":"2026-05-02T13:34:48.005Z","repository":{"id":73003888,"uuid":"95687182","full_name":"HMJiangGatech/ESmote","owner":"HMJiangGatech","description":"ESmote - An R package implemneting fast SMOTE algorithm","archived":false,"fork":false,"pushed_at":"2019-10-30T00:13:14.000Z","size":13786,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2025-03-26T15:26:25.611Z","etag":null,"topics":["imbalanced-learning","machine-learning","r","smote"],"latest_commit_sha":null,"homepage":"","language":"C++","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/HMJiangGatech.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,"governance":null}},"created_at":"2017-06-28T15:58:22.000Z","updated_at":"2022-12-09T05:11:21.000Z","dependencies_parsed_at":null,"dependency_job_id":"ae1a58df-e827-42ff-9fea-a043683982c8","html_url":"https://github.com/HMJiangGatech/ESmote","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/HMJiangGatech/ESmote","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HMJiangGatech%2FESmote","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HMJiangGatech%2FESmote/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HMJiangGatech%2FESmote/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HMJiangGatech%2FESmote/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/HMJiangGatech","download_url":"https://codeload.github.com/HMJiangGatech/ESmote/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/HMJiangGatech%2FESmote/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32536579,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-02T12:25:33.646Z","status":"ssl_error","status_checked_at":"2026-05-02T12:24:51.733Z","response_time":132,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["imbalanced-learning","machine-learning","r","smote"],"created_at":"2024-12-04T17:25:05.278Z","updated_at":"2026-05-02T13:34:47.986Z","avatar_url":"https://github.com/HMJiangGatech.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# esmote\r\n**`esmote`**, an R package including fast SMOTE algorithm.\r\n\r\nThis is part of my undergraduate final year project. Which provide a really fast implementation of SMOTE algorithm.\r\n\r\nIf you have any concerns please contact me: jianghm.ustc@gmail.com\r\n\r\nSome functions are still underconstruction. \r\nEx. I developed a semi-supervised autoencoder to deal with high-dimensional data. However I did not provide a well documented R warpper. You may refer to the source code (`./tests/testPer.R`).\r\n\r\n## Installation\r\n\r\nFirst install  `devtools` in `R`:\r\n```R\r\ninstall.packages(\"devtools\")\r\n```\r\nInstall package via `install_github`:\r\n\r\n```R\r\nlibrary(devtools)\r\ninstall_github('HMJiangGatech/ESmote')\r\n```\r\n\r\n## Practical Example\r\n\r\nThis package contains some test data, such as hand written digits data.\r\n\r\n```R\r\nnewlabel = digitsTrainLabel;\r\nnewlabel[newlabel\u003e0] = 1;\r\nnewID = sample(60000);\r\ntimestart\u003c-Sys.time();\r\n\r\nnewdata\u003c-esmote::Smote(digitsTrain[newID,],newlabel[newID], algorithm=\"rp_forest\");\r\n\r\ntimeend\u003c-Sys.time()\r\nrunningtime\u003c-timeend-timestart\r\nprint(runningtime)\r\n```\r\n\r\nCompared to other packasges such as: `DMwR`, `smotefamily`, it is extremely fast.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhmjianggatech%2Fesmote","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhmjianggatech%2Fesmote","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhmjianggatech%2Fesmote/lists"}