{"id":14970754,"url":"https://github.com/guildai/guildai-r","last_synced_at":"2025-10-26T13:31:12.276Z","repository":{"id":60286036,"uuid":"500994892","full_name":"guildai/guildai-r","owner":"guildai","description":"Track machine learning experiments","archived":false,"fork":false,"pushed_at":"2023-08-02T18:02:09.000Z","size":4363,"stargazers_count":19,"open_issues_count":1,"forks_count":3,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-31T19:12:08.384Z","etag":null,"topics":["deep-learning","keras","machine-learning"],"latest_commit_sha":null,"homepage":"https://guildai.github.io/guildai-r/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/guildai.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":"2022-06-07T20:30:54.000Z","updated_at":"2024-11-16T06:50:58.000Z","dependencies_parsed_at":"2023-02-14T04:30:28.611Z","dependency_job_id":null,"html_url":"https://github.com/guildai/guildai-r","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/guildai%2Fguildai-r","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guildai%2Fguildai-r/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guildai%2Fguildai-r/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/guildai%2Fguildai-r/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/guildai","download_url":"https://codeload.github.com/guildai/guildai-r/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":238337301,"owners_count":19455285,"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":["deep-learning","keras","machine-learning"],"created_at":"2024-09-24T13:44:05.786Z","updated_at":"2025-10-26T13:31:11.731Z","avatar_url":"https://github.com/guildai.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# R interface to Guild AI\n\n\u003c!-- badges: start --\u003e\n\n[![R-CMD-check](https://github.com/guildai/guildai-r/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/guildai/guildai-r/actions/workflows/R-CMD-check.yaml)\n\n\u003c!-- badges: end --\u003e\n\n\u003cp align=\"center\"\u003e\n\n\u003cimg src=\"man/figures/logos/guild-logo-dark.png\" width=\"50%\"/\u003e\n\n\u003c/p\u003e\n\n|                                                            |                                                     |                                                        |\n|:----------------------------------------------------------:|:---------------------------------------------------:|:------------------------------------------------------:|\n| \u003cimg src=\"man/figures/logos/keras-logo.png\" width=\"100%\"/\u003e | \u003cimg src=\"man/figures/logos/mlr3.png\" width=\"35%\"/\u003e | \u003cimg src=\"man/figures/logos/xgboost.png\" width=\"40%\"/\u003e |\n\n*guildai* provides a suite of tools for tracking, visualizing, and\nmanaging machine learning experiments. The {guildai} R package is a\nsuccessor to the {tfruns} package.\n\n-   Track the hyperparameters, metrics, output, and source code of every\n    training run.\n\n-   Compare hyperparmaeters and metrics across runs to find the best\n    performing model.\n\n-   No changes to source code required.\n\n# Installation\n\nThe R package provides an interface to [Guild AI\nCore](https://guild.ai/). The R package will automatically download and\ninstall Guild AI Core on first use, or you can call `install_guild()`\ndirectly to customize the installation.\n\nTo install the release version:\n\n``` r\ninstall.packages(\"guildai\")\nguildai::install_guild()\n```\n\nTo install the development version:\n\n``` r\nremotes::install_github(\"guildai/guildai-r\")\nguildai::install_guild(\"dev\")\n```\n\nGuild AI can be used with any machine learning framework, or no\nframework at all.\n\n[Get Started](https://guildai.github.io/guildai-r/articles/guildai.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguildai%2Fguildai-r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fguildai%2Fguildai-r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fguildai%2Fguildai-r/lists"}