{"id":20195079,"url":"https://github.com/guokr/torchctr","last_synced_at":"2025-10-24T11:04:30.546Z","repository":{"id":62584984,"uuid":"200617780","full_name":"guokr/TorchCTR","owner":"guokr","description":"CTR Prediction on PyTorch","archived":false,"fork":false,"pushed_at":"2019-09-02T07:45:02.000Z","size":5920,"stargazers_count":14,"open_issues_count":0,"forks_count":2,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-24T09:05:04.044Z","etag":null,"topics":["classfication","ctr","ctr-prediction","deep-learning","factorization-machine","pytorch"],"latest_commit_sha":null,"homepage":"https://guokr.github.io/TorchCTR/","language":"Python","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/guokr.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":"2019-08-05T08:45:43.000Z","updated_at":"2023-03-27T13:24:01.000Z","dependencies_parsed_at":"2022-11-03T22:00:57.716Z","dependency_job_id":null,"html_url":"https://github.com/guokr/TorchCTR","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/guokr%2FTorchCTR","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guokr%2FTorchCTR/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guokr%2FTorchCTR/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guokr%2FTorchCTR/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/guokr","download_url":"https://codeload.github.com/guokr/TorchCTR/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248198889,"owners_count":21063628,"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":["classfication","ctr","ctr-prediction","deep-learning","factorization-machine","pytorch"],"created_at":"2024-11-14T04:15:40.657Z","updated_at":"2025-10-24T11:04:25.502Z","avatar_url":"https://github.com/guokr.png","language":"Python","readme":"\u003cp align=\"center\"\u003e\n\u003ca href=\"https://pypi.org/project/torchctr/\"\u003e\n    \u003cimg alt=\"PyPI\" src=\"https://img.shields.io/pypi/v/torchctr.svg\"\u003e\n\u003c/a\u003e\n\u003ca href='https://github.com/guokr/torchctr/blob/master/LICENSE'\u003e\n    \u003cimg alt=\"PyPI - License\" src=\"https://img.shields.io/pypi/l/gnes.svg\"\u003e\n\u003c/a\u003e\n\u003c/p\u003e\n\n\n\u003cp align=\"center\"\u003e\n  \u003ca href=\"#install\"\u003eInstall\u003c/a\u003e |\n  \u003ca href=\"#getting-started\"\u003eGetting Started\u003c/a\u003e |\n  \u003ca href=\"#documentation\"\u003eDocumentation\u003c/a\u003e |\n\u003c/p\u003e\n\n\n\n\u003ch2 align=\"center\"\u003eTorchCTR\u003c/h2\u003e\n\nTorchCTR is a scalable and easy-to-use ML package for CTR (Click Through Rate) prediction and ranking in recommender system with Facebook PyTorch.\n\n### Classic Models\n\n- [x] [Logistic Regression](https://en.wikipedia.org/wiki/Logistic_regression)\n- [x] [Factorization Machine by Osaka Univ.](https://www.csie.ntu.edu.tw/~b97053/paper/Rendle2010FM.pdf)\n- [x] [Field-aware Factorization Machine by Criteo, CMU \u0026 NTU](https://www.csie.ntu.edu.tw/~cjlin/papers/ffm.pdf)\n\n### Deep Learning Models\n\n- [x] [Wide and Deep by Google](https://arxiv.org/abs/1606.07792)\n- [x] [DeepFM by Huawei \u0026 HIT](https://arxiv.org/abs/1703.04247)\n- [x] [Neural Factorization Machine by NUS](https://arxiv.org/pdf/1708.05027.pdf)\n- [x] [Field-aware Neural Factorization Machine](https://arxiv.org/abs/1902.09096)\n- [ ] [Factorization-supported Neural Network](https://arxiv.org/abs/1601.02376)\n- [ ] [Product-based Neural Network](https://arxiv.org/abs/1611.00144)\n- [ ] [Attentional Factorization Machine](https://arxiv.org/abs/1708.04617)\n- [ ] [Deep and Cross Network](https://arxiv.org/abs/1708.05123)\n- [ ] [Deep Interest Network](https://arxiv.org/abs/1706.06978)\n- [ ] [eXtreme Deep Factorization Machine](https://arxiv.org/abs/1803.05170)\n\n\n\u003ch2 align=\"center\"\u003eInstall\u003c/h2\u003e\n\n`pip install torchctr --user`\n\n\u003ch2 align=\"center\"\u003eGetting Started\u003c/h2\u003e\n\nplease check exmaples/\n\n\u003ch2 align=\"center\"\u003eDocumentation\u003c/h2\u003e\n\n[Official Documentation](https://guokr.github.io/TorchCTR/)\n\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguokr%2Ftorchctr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fguokr%2Ftorchctr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguokr%2Ftorchctr/lists"}