🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headquarters location.
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🌄 The Cloud Native Interactive Landscape filters and sorts hundreds of projects and products, and shows details including GitHub stars, funding, first and last commits, contributor counts and headquarters location.
Resources for Blazor, a .NET web framework using C#/Razor and HTML that runs in the browser with WebAssembly.
TensorFlow Tutorials with YouTube Videos
A curated list of amazingly awesome Home Assistant resources.
TensorFlow tutorials and best practices.
This repository has examples of broken patterns in ASP.NET Core applications
🚨 Collection of Prometheus alerting rules
An awesome list of awesome YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
TranslatedOpen-source manuscript of 《深入理解 AI Infra:量化分析与系统设计》 (In-Depth Understanding of AI Infra: Quantitative Analysis and System Design), by 李博杰 (Li Bojie): starting from hardware constraints and model architecture, it quantitatively derives the system design of LLM inference and training. Includes the full text of the book, a PDF, and companion calculation tools and experiments
Step-by-step guide through the abstract and complex universe of Fragment Shaders.
A free, online learning platform to make quality education accessible for all.
Kubernetes application example tutorials
Web Application ASP.NET 9 using Clean Architecture, DDD, CQRS, Event Sourcing and a lot of good practices
A course in reinforcement learning in the wild
SwiftUI sample app using Clean Architecture. Examples of working with SwiftData persistence, networking, dependency injection, unit testing, and more.
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
:dolphin: A comprehensive tutorial on getting started with Docker!
Simple tutorials using Google's TensorFlow Framework
An Information Security Reference That Doesn't Suck; https://rmusser.net/git/admin-2/Infosec_Reference for non-MS Git hosted version.
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.
A comprehensive Domain-Driven Design example with problem space strategic analysis and various tactical patterns.
common data analysis and machine learning tasks using python
From the basics to slightly more interesting applications of Tensorflow
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.