Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
- go
- golang
- ddd
- clean-architecture
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How to implement Stripe without going mad
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
- agentic-coding
- ai-assistant
- ai-coding
- ai-pair-programming
TensorFlow documentation
- tensorflow
- tensorflow-tutorials
- tensorflow-examples
- documentation
TranslatedSimplified Chinese translation of the http://learnopengl.com tutorial series
- learnopengl
- translation
My understanding of Unreal Engine 5's GameplayAbilitySystem plugin with a simple multiplayer sample project.
Ultimate Python study guide 🐍 🐍 🐍
- python
- python3
- study
- programming-language
Learn where some of the network sysctl variables fit into the Linux/Kernel network flow. Translations: 🇷🇺
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
TranslatedTop free VPN (ClashX & V2Ray proxy) with subscription links. [Free VPN, free ladder, free "scientific internet access", free subscription links, free nodes, curated selection, ClashX & V2Ray tutorials]
- clash
- clashx
- clash-for-windows
- free-node
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
From the basics to slightly more interesting applications of Tensorflow
Kubernetes clusters for the hobbyist.
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.
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
Analysis of Bot Protection systems with available countermeasures 🚿. How to defeat anti-bot system 👻 and get around browser fingerprinting scripts 🕵️♂️ when scraping the web?
Translated"A Guide to Building the Large Model White Box": a Tiny-Universe made entirely by hand
This is a code repository for the corresponding video tutorial. Using React, Node.js, Express & MongoDB you'll learn how to build a Full Stack MERN Application - from start to finish. The App is called "Memories" and it is a simple social media app that allows users to post interesting events that happened in their lives.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
📖 Unofficial WireGuard Documentation: Setup, Usage, Configuration, and full example setups for VPNs supporting both servers & roaming clients.
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of function calling, memory, and ReAct patterns.
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
TranslatedA collection of hands-on Spring Boot series tutorials
- java
- spring-boot
- springboot
- springframework