Glenn F. Henriksen's starred repositories
a-picture-is-worth-a-1000-words
I am trying to describe complex matters in simple doodles!
face_recognition
The world's simplest facial recognition api for Python and the command line
WebDavServer
WebDAV-Server for .NET using ASP.NET Core
coding-interview-university
A complete computer science study plan to become a software engineer.
aggregator-cli
A new version of Aggregator aiming at Azure DevOps (ex Visual Studio Team Services)
CodePreviewHandler
This is code for a Windows PreviewHandler file association. This enables you to have a preview window in Explorer or Outlook when selecting a file and it will show code-highlighting for the file without opening into some editor.
dotfiles-windows
windows desktop bootstrap one liner
microsoft-identity-web
Helps creating protected web apps and web APIs with Microsoft identity platform and Azure AD B2C
bUnit
bUnit is a testing library for Blazor components that make tests look, feel, and runs like regular unit tests. bUnit makes it easy to render and control a component under test’s life-cycle, pass parameter and inject services into it, trigger event handlers, and verify the rendered markup from the component using a built-in semantic HTML comparer.
easy-peasy
Vegetarian friendly state for React
diagnostics
This repository contains the source code for various .NET Core runtime diagnostic tools and documents.
Nerdbank.GitVersioning
Stamp your assemblies, packages and more with a unique version generated from a single, simple version.json file and include git commit IDs for non-official builds.
react-jsonschema-form
A React component for building Web forms from JSON Schema.
CleanArchitecture
Clean Architecture Solution Template: A starting point for Clean Architecture with ASP.NET Core
EditorConfig
A very generic .editorconfig file supporting .NET, C#, VB and web technologies.
aspnetcore-app-workshop
This workshop will teach you ASP.NET Core by building a complete conference management website from scratch.
iotedge-scott-or-not
Sample of running an IoT Edge application on both a Windows PC and a Raspberry Pi 3, and ability to use your own custom vision models.