A list of C# Source Generators (not necessarily awesome) and associated resources: articles, talks, demos.
- csharp-sourcegenerator
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A list of C# Source Generators (not necessarily awesome) and associated resources: articles, talks, demos.
My own notes (drafts mostly) about software quality
Awesome generative art
The repository contains the ENGLISH description files attached to the video series in my ARABIC algorithms channel.
Math & CS awesome List, distinguished by proof and logic technique
Descriptions of C++17 features, presented mostly in "Tony Tables" (hey, the name wasn't my idea)
:keyboard: A curated list of awesome tools, demos and resources to go beyond LaTeX
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
Code repository for Vulkan Cookbook by Packt
Some CircuitPython tricks, mostly reminders to myself
An infographic to summarize the most important parts of the Service Workers' API
Demo applications showing off Web Bluetooth
A guide to some of the most useful R Packages that we know about
Mostly experiments based on "Advances in financial machine learning" book
A curated collection of SuperMimic implementations, extensions, demos, and resources.
:1st_place_medal: Roadmap to become a system design and architecture master
This repository contains a subset of pointers to solutions with editorials and notes to my trainees (ACM ICPC, OJs, IOI, POI, CEOI, JOI, etc). For IOI/OI, I organized what I found on the web from official solutions and materials.
Examples and demos for the Vulkan C++ API
Demos of various (also non standard) persistence methods used by malware
Use graphql-ruby to expose a Rails app
The World's Most Comprehensive, Authoritative, and Structured Open Source Data Source Knowledge Base
Networked Media Open Specifications: Introduction
Instructions for building an almost consumer hardware based prototype of a hearing aid
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.