{"id":18761516,"url":"https://github.com/xamlbrewer/uwp-machinelearning-sample","last_synced_at":"2025-04-13T03:31:33.797Z","repository":{"id":34195505,"uuid":"163655632","full_name":"XamlBrewer/UWP-MachineLearning-Sample","owner":"XamlBrewer","description":"Demonstrates how to use ML.NET to implement some Machine Learning use cases in UWP.","archived":false,"fork":false,"pushed_at":"2022-02-27T08:49:36.000Z","size":17305,"stargazers_count":88,"open_issues_count":2,"forks_count":26,"subscribers_count":11,"default_branch":"master","last_synced_at":"2025-03-26T21:13:19.276Z","etag":null,"topics":["machine-learning","ml-net","oxyplot","uwp"],"latest_commit_sha":null,"homepage":"https://xamlbrewer.wordpress.com/category/ml-net/","language":"C#","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/XamlBrewer.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":"2018-12-31T09:18:41.000Z","updated_at":"2024-09-16T14:32:07.000Z","dependencies_parsed_at":"2022-07-24T18:02:14.789Z","dependency_job_id":null,"html_url":"https://github.com/XamlBrewer/UWP-MachineLearning-Sample","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/XamlBrewer%2FUWP-MachineLearning-Sample","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/XamlBrewer%2FUWP-MachineLearning-Sample/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/XamlBrewer%2FUWP-MachineLearning-Sample/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/XamlBrewer%2FUWP-MachineLearning-Sample/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/XamlBrewer","download_url":"https://codeload.github.com/XamlBrewer/UWP-MachineLearning-Sample/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248659646,"owners_count":21141152,"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":["machine-learning","ml-net","oxyplot","uwp"],"created_at":"2024-11-07T18:16:23.479Z","updated_at":"2025-04-13T03:31:32.663Z","avatar_url":"https://github.com/XamlBrewer.png","language":"C#","readme":"# UWP-MachineLearning-Sample\nDemonstrates how to use ML.NET and Oxyplot to implement some Machine Learning use cases in an MVVM UWP app. Currently works against ML.NET v1.3.1 and is tested against v1.4.0-preview. \n\nIf you want to see these same ML.NET scenarios in Jupyter Notebooks and XPlot, then visit https://github.com/XamlBrewer/ML.NET-Jupyter-Notebooks.\n\n## Look mom, no Python\nThe UWP app demonstrates the following Machine Learning scenarios:\n* Clustering\n* Multiclass Classification\n* Binary Classification\n* Regression\n* Feature Contribution Calculation\n* Permutation Feature Importance Calculation\n* Recommendation\n* Recommendation using Field-Aware Factorization Machine\n* Automated model generation with AutoML\n* Feature Distribution Analysis with Boxplot Diagrams\n* Feature Correlation Analysis with Heatmap Diagrams\n\n## Seeing is believing:\n\n![Screenshot](Assets/Clustering.png?raw=true)\n\n![Screenshot](Assets/MulticlassClassification.png?raw=true)\n\n![Screenshot](Assets/BinaryClassification.png?raw=true)\n\n![Screenshot](Assets/Regression.png?raw=true)\n\n![Screenshot](Assets/FeatureContribution.png?raw=true)\n\n![Screenshot](Assets/FeatureImportance.png?raw=true)\n\n![Screenshot](Assets/Recommendation.png?raw=true)\n\n![Screenshot](Assets/FfmRecommendation.png?raw=true)\n\n![Screenshot](Assets/AutoML.png?raw=true)\n\n![Screenshot](Assets/BoxPlot.png?raw=true)\n\n![Screenshot](Assets/HeatMap.png?raw=true)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxamlbrewer%2Fuwp-machinelearning-sample","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxamlbrewer%2Fuwp-machinelearning-sample","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxamlbrewer%2Fuwp-machinelearning-sample/lists"}