{"id":13577094,"url":"https://github.com/wuyifan18/DeepLog","last_synced_at":"2025-04-05T09:31:02.553Z","repository":{"id":40505194,"uuid":"163288742","full_name":"wuyifan18/DeepLog","owner":"wuyifan18","description":"Pytorch Implementation of DeepLog.","archived":false,"fork":false,"pushed_at":"2024-07-25T10:58:40.000Z","size":1519,"stargazers_count":374,"open_issues_count":25,"forks_count":155,"subscribers_count":18,"default_branch":"master","last_synced_at":"2024-11-05T13:44:41.778Z","etag":null,"topics":["anomaly-detection","deeplearning","pytorch","sequence-prediction"],"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/wuyifan18.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,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2018-12-27T11:53:58.000Z","updated_at":"2024-10-29T12:41:21.000Z","dependencies_parsed_at":"2022-08-09T22:21:51.853Z","dependency_job_id":"f15746ff-5b62-4974-aa04-27b2b1bd4f34","html_url":"https://github.com/wuyifan18/DeepLog","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/wuyifan18%2FDeepLog","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wuyifan18%2FDeepLog/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wuyifan18%2FDeepLog/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wuyifan18%2FDeepLog/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wuyifan18","download_url":"https://codeload.github.com/wuyifan18/DeepLog/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247318060,"owners_count":20919448,"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":["anomaly-detection","deeplearning","pytorch","sequence-prediction"],"created_at":"2024-08-01T15:01:17.944Z","updated_at":"2025-04-05T09:30:57.542Z","avatar_url":"https://github.com/wuyifan18.png","language":"Python","funding_links":[],"categories":["Python"],"sub_categories":[],"readme":"# DeepLog\nA Pytorch implementation of [DeepLog](https://www.cs.utah.edu/~lifeifei/papers/deeplog.pdf)'s log key anomaly detection model.\n\n*If you are confusing about how to extract log key (i.e. log template), I recommend using **Drain** which is proposed in this [paper](https://pinjiahe.github.io/papers/ICWS17.pdf). As far as I know, it is the most effective log parsing method. By the way, there is a toolkit and benchmarks for automated log parsing in this [repository](https://github.com/logpai/logparser).*\n\n## Requirement\n* python\u003e=3.6\n* pytorch==1.4\n* tensorboard==2.0.2\n\n## Dataset\n~~The dataset can be downloaded [HERE](https://www.cs.utah.edu/~mind/papers/deeplog_misc.html).~~ The website can't accessed now, but you can find the HDFS data in this repository.\n\nThe original HDFS logs can be found [HERE] (http://people.iiis.tsinghua.edu.cn/~weixu/sospdata.html).\n\n## Visualization\nRun the following code in terminal, then navigate to https://localhost:6006.\n\n`tensorboard --logdir=log`\n\n## Reference\nMin Du, Feifei Li, Guineng Zheng, Vivek Srikumar. \"Deeplog: Anomaly detection and diagnosis from system logs through deep learning.\" ACM SIGSAC Conference on Computer and Communications Security(CCS), 2017.\n\n## Contributing\n**If you have any questions, please open an** ***[issue](https://github.com/wuyifan18/DeepLog/issues).***\n\n**Welcome to** ***[pull requests](https://github.com/wuyifan18/DeepLog/pulls)*** **to implement the rest of this paper!**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwuyifan18%2FDeepLog","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwuyifan18%2FDeepLog","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwuyifan18%2FDeepLog/lists"}