Haufe API Style Guide
- styleguide
- api
- hypermedia
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Haufe API Style Guide
A collection of links that cover what happened during EmberConf 2015
A sample Blazor chat application using SignalR
Hand-drawn and pixel-art explainer videos written entirely in code — Remotion + React + SVG, procedural music & SFX, subtitle-driven timing
Materials for GWU DNSC 6279 and DNSC 6290.
Evidence archive for Jesus of Nazareth: research dossier (PDF), New Testament, gnostic and extracanonical gospels, church fathers, ancient witnesses, Roman legal documents, archaeology, and all 238 cited references — searchable reader at https://sybil-solutions.github.io/all-historical-evidence-of-jesus-christ/
Everything you need to know about Shadow DOM
Project based on latest .NET (v6.0) technologies for building scalable web api, along with clean architecture patterns.
A curated list of delightfully amusing and facetious Markov chain output.
Demos of various (also non standard) persistence methods used by malware
An easy to use menu structure for cli applications that prompts users to make choices.
A curated list of awesome Umbraco packages, resources and tools
Forward Deployed Engineer Roadmap - A step-by-step roadmap to become a Forward Deployed Engineer (FDE) in AI, with a blog for every topic.
⚡A curated list of awesome resources related to the Ⱥlgorand Blockchain ⛓
learn stuff with pen + paper + AI
A listing of all the subgroups of Hackathon Hackers
Student submissions for the WWDC 2020 - Swift Student Challenge
Vue.js + Rails Starting Kit GitHub Template to develop Hybrid Mobile Application: https://vuejs-rails-starterkit.herokuapp.com
Personal experimental project to implement clustered shading with WebGPU.
:book: Practical examples in Elm
this tries to be a minimal cmake example, that covers sources resources dependencies and packaging.
a nodeschool workshop that teaches you the fundamentals of working with binary data in node.js and HTML5 browsers
This is an aspiring project aimed at accumulating knowledge from the world of cybersecurity and presenting it in a cogent way, so it is accessible to as large an audience as possible and so that everyone has a good resource to learn hacking from.
This project shows how to use CNN to perform Chinese character recognition, a much more complicated task compared to MNIST digit recognition.