{"id":13535053,"url":"https://github.com/SciSharp/SciSharpCube","last_synced_at":"2025-04-02T00:32:13.727Z","repository":{"id":45125559,"uuid":"186261626","full_name":"SciSharp/SciSharpCube","owner":"SciSharp","description":"Quickly experience all the latest features of SciSharp Machine Learning tools in docker container.","archived":false,"fork":false,"pushed_at":"2020-10-04T01:25:27.000Z","size":3615,"stargazers_count":95,"open_issues_count":5,"forks_count":18,"subscribers_count":10,"default_branch":"master","last_synced_at":"2024-08-02T08:09:52.080Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","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/SciSharp.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}},"created_at":"2019-05-12T13:55:18.000Z","updated_at":"2024-05-26T09:15:18.000Z","dependencies_parsed_at":"2022-07-13T08:31:11.980Z","dependency_job_id":null,"html_url":"https://github.com/SciSharp/SciSharpCube","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/SciSharp%2FSciSharpCube","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciSharp%2FSciSharpCube/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciSharp%2FSciSharpCube/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SciSharp%2FSciSharpCube/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SciSharp","download_url":"https://codeload.github.com/SciSharp/SciSharpCube/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":222788514,"owners_count":17037777,"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":"2024-08-01T08:00:49.109Z","updated_at":"2024-11-02T23:30:19.959Z","avatar_url":"https://github.com/SciSharp.png","language":"Jupyter Notebook","funding_links":[],"categories":["others","Serving"],"sub_categories":[],"readme":"\u003ca href=\"http://scisharpstack.org\"\u003e\u003cimg src=\"https://github.com/SciSharp/SciSharp/blob/master/art/scisharp_badge.png\" width=\"200\" height=\"200\" align=\"right\" /\u003e\u003c/a\u003e\n# SciSharp Cube\nQuickly experience all the latest features of SciSharp Machine Learning tools in docker container.\n\n[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/javiercp/BinderTF.NET/master?urlpath=lab)\n\n### Run from Docker Hub\n\n```shell\ndocker run --name scisharp -it -p 8888:8888 scisharpstack/scisharpcube\n```\n\nThis command will pull latest [SciSharpCube](\u003chttps://hub.docker.com/r/scisharpstack/scisharpcube\u003e) image and run it.\n\n![docker start](assets/docker-start.png)\n\nThere is an example of Linear Regression.\n\n![linear regression screen recording](assets/LinearRegression.gif)\n\n\n\n### Build image from local\n\n##### Get source code\n\n```shell\ngit clone https://github.com/SciSharp/SciSharpCube\ncd SciSharpCube\n```\n##### Build docker image\n```shell\ndocker build -f ./dockerfiles/cube.dockfile -t scisharpcube .\n```\nIf `microsoft/dotnet` is not pulled automatically, you should run `docker pull microsoft/dotnet` first.\n##### Start a container\n```shell\ndocker run --name scisharp -it -p 8888:8888 scisharpcube\n```\nNow you can open the Jupyter link printed out in the console in your browser. Congratulations, \nyou are running SciSharp STACK in Jupyter\n\n##### Tips (not necessary)\nIf you want to open another shell.\n```shell\ndocker exec -it scisharp bash\n```\nIf you ever exit the container with Control-C you can re-enter it with the following command.\n\n```shell\ndocker start scisharp -i\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSciSharp%2FSciSharpCube","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FSciSharp%2FSciSharpCube","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FSciSharp%2FSciSharpCube/lists"}