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badass-chart

Bad Ass 🔫 chart built with React and D3 v4.

bitcoinbook

Mastering Bitcoin 2nd Edition - Programming the Open Blockchain

bulletproof-tls

criterion.rs

Statistics-driven benchmarking library for Rust

discussion

used for giscus

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

fmt-rfcs

RFCs for Rust formatting guidelines and changes to Rustfmt

gatsby-plugin-i18n

Multi language routes for Gatsby

getting-to-know-vivado

Source files for Getting to Know Vivado course

github-slideshow

A robot powered training repository :robot:

hello-github-actions

machinelearning

ML.NET is an open source and cross-platform machine learning framework for .NET.

mastering-microblaze

Slides and lab instructions for the mastering MicroBlaze session

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

opcuaclientdynamictypessample

A sample for the OPCUA Client from https://github.com/OPCFoundation/UA-.NETStandard to read dynamic types from the server.

parse_ft_gfx_xml

Retrieve tags from factorytalk gfx-xml file

playground

A simple playground for HTML, CSS and JavaScript supporting module imports.

practical-aspnetcore

Practical samples of aspnet core 2.1, 2.2, 3.0 and 3.1 projects you can use. Readme contains explanations on all projects.

public-docu

puppeteer-sharp

Headless Chrome .NET API

qlicense

A Ready To Use Software Licensing Solution in C#

rust-ci-github-actions-workflow

Rust project template with CI workflow in GitHub Actions

rust-iterators

Basic Rust iterator usage

rustaceans.org

Backing data for

rustplotlib

A pure Rust visualization library inspired by D3.js

rusty7

to be defined later...

scaffold-eth

🏗 forkable Ethereum dev stack focused on fast product iterations

smart-contract-best-practices

A guide to smart contract security best practices

standard.licensing

Easy-to-use licensing library for .NET Framework, Mono, .NET Core, and Xamarin products

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"