{"id":13604261,"url":"https://github.com/MachineLearningSystem/ModelKeeper","last_synced_at":"2025-04-11T23:32:09.167Z","repository":{"id":185461866,"uuid":"548787849","full_name":"MachineLearningSystem/ModelKeeper","owner":"MachineLearningSystem","description":"A Cluster-Wide Model Manager to Accelerate DNN Training via Automated Training Warmup","archived":false,"fork":true,"pushed_at":"2022-10-10T03:59:10.000Z","size":17006,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"master","last_synced_at":"2024-11-07T08:42:38.256Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":"SymbioticLab/ModelKeeper","license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/MachineLearningSystem.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":"2022-10-10T07:22:02.000Z","updated_at":"2022-10-10T06:49:02.000Z","dependencies_parsed_at":null,"dependency_job_id":"74df9cbc-3f32-4c79-9fc3-85e02bd57aca","html_url":"https://github.com/MachineLearningSystem/ModelKeeper","commit_stats":null,"previous_names":["machinelearningsystem/modelkeeper"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FModelKeeper","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FModelKeeper/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FModelKeeper/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MachineLearningSystem%2FModelKeeper/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/MachineLearningSystem","download_url":"https://codeload.github.com/MachineLearningSystem/ModelKeeper/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248495079,"owners_count":21113565,"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":"2024-08-01T19:00:42.468Z","updated_at":"2025-04-11T23:32:04.157Z","avatar_url":"https://github.com/MachineLearningSystem.png","language":null,"readme":"# ModelKeeper\n\nThis repository contains the evvaluation artifacts of our NSDI '23 paper \"[ModelKeeper: Accelerating DNN Training via Automated Training Warmup](https://www.usenix.org/conference/nsdi23/presentation/lai)\".\n\n**ModelKeeper has been merged as part of [FedScale](https://github.com/SymbioticLab/FedScale) and is actively maintained there. Please try it!**\n\n# Overview\n\n* [Getting Started](#getting-started)\n* [Run Experiments](#run-experiments)\n* [Repo Structure](#repo-structure)\n* [Contact](#contact)\n\n# Getting Started\n\nOur ```install.sh``` will install the following automatically:\n\n* Anaconda Package Manager\n* CUDA 10.2\n\nNote: if you prefer different versions of conda and CUDA, please check  comments in `install.sh` for details.\n\nRun the following commands to install ModelKeeper. \n\n```\nsource install.sh \npip install -e .\n```\n\n# Run Experiments\n\n# Repo Structure\n\n```\nRepo Root\n|---- modelkeeper   # Core implementation (e.g., Matcher).\n|---- evals         # MK support for different training backends\n    |---- ray_tune      # Ray experiments\n    |---- nni           # Retiarii experiments\n|---- examples      # Toy experiments of model transformation\n```\n\n# Notes\nplease consider to cite our paper if you use the code or data in your research project.\n```bibtex\n@inproceedings{modelkeeper-nsdi23,\n  title={ModelKeeper: Accelerating DNN Training via Automated Training Warmup},\n  author={Fan Lai and Yinwei Dai and Harsha V. Madhyastha and Mosharaf Chowdhury},\n  booktitle={USENIX Symposium on Networked Systems Design and Implementation (NSDI)},\n  year={2023}\n}\n```\n\n# Contact\nFan Lai (fanlai@umich.edu) and Yinwei Dai (yinweid@princeton.edu).\n\n\n","funding_links":[],"categories":["Paper-Code"],"sub_categories":["Training"],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2FModelKeeper","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FMachineLearningSystem%2FModelKeeper","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FMachineLearningSystem%2FModelKeeper/lists"}