This repo contains the DirectX Graphics samples that demonstrate how to build graphics intensive applications on Windows.
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Kubernetes application example tutorials
Examples built with TensorFlow.js
Web Application ASP.NET 9 using Clean Architecture, DDD, CQRS, Event Sourcing and a lot of good practices
- equinox
- cqrs
- architecture
- asp-net-core
🚀 Ready-to-run Prisma example projects
Principles of writing consistent, idiomatic CSS.
SwiftUI sample app using Clean Architecture. Examples of working with SwiftData persistence, networking, dependency injection, unit testing, and more.
- swiftui
- swift
- architecture
- clean-architecture
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
- go
- golang
- ddd
- clean-architecture
Implements a deep pretty printer for Go data structures to aid in debugging
A list of useful Java frameworks, libraries, software and hello worlds examples
- java-links
- java-frameworks
- awesome-list
- machine-learning
180+ Algorithm & Data Structure Problems using C++
Course materials for Modern Binary Exploitation by RPISEC
- exploitation
- wargame
- ctf
Simple tutorials using Google's TensorFlow Framework
Go microservice template for Kubernetes
An Information Security Reference That Doesn't Suck; https://rmusser.net/git/admin-2/Infosec_Reference for non-MS Git hosted version.
- infosec
- infosec-reference
- reverse-engineering
- hacking
A curated list of fuzzing resources ( Books, courses - free and paid, videos, tools, tutorials and vulnerable applications to practice on ) for learning Fuzzing and initial phases of Exploit Development like root cause analysis.
- awesome-list
- awesome
- fuzzing
- fuzzing-framework
😎🏖️🐬 Your new, 𝙧𝙞𝙙𝙤𝙣𝙠𝙪𝙡𝙞𝙘𝙞𝙤𝙪𝙨𝙡𝙮 smart clipboard manager
A repo containing samples tied to new functionality in each release of Google Chrome.
A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
- domain-driven-design
- ddd
- ddd-architecture
- c4
An Open-Source Collection of Flash Cards to Help You Preparing Your Algorithms & Data Structures and System Design Interviews 💯
- algorithms
- data-structures
- array
- bit-manipulation
Ultra-fast bootstrapping with Angular and Electron :speedboat:
From the basics to slightly more interesting applications of Tensorflow
Example projects using the AWS CDK
- cdk
- cdk-examples
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.