A mostly reasonable approach to CSS and Sass.
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A collection of public resources about how software companies test their software
- testing
- companies
- testing-practices
- quality
This repo contains the DirectX Graphics samples that demonstrate how to build graphics intensive applications on Windows.
HumHub is an Open Source Enterprise Social Network. Easy to install, intuitive to use and extendable with countless freely available modules.
- social-network
- php
- awesome
- humhub
A community-driven Ruby on Rails style guide
- ruby
- rails
- styleguide
- rubocop
Implements a deep pretty printer for Go data structures to aid in debugging
:dolphin: A comprehensive tutorial on getting started with Docker!
- docker
- tutorials
- cloud-computing
- microservices
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
A comprehensive curated list of available Bug Bounty & Disclosure Programs and Write-ups.
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
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
A curated list of awesome infosec courses and training resources.
😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
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.
Translated:books: 《Go语言定制指南》 (Go Language Customization Guide) (formerly titled: Introduction to Go Syntax Trees / Open-Source Free Book / Advanced Go / Mastering Abstract Syntax Trees / Go Language AST)
A collection of AWESOME things about domain adaptation
- transfer-learning
- domain-adaptation
- adversarial-learning
- image-translation
A curated list of awesome CMake resources, scripts, modules and examples.
- cmake
- cmake-resources
- cmake-scripts
- cmake-modules
Promise packages, patterns, chat, and tutorials
- async-functions
- promise-modules
- promises
- javascript
🎁 A glib-like multi-platform c library
- stream
- coroutines
- algorithm
- cross-platform
A curated list of Large Language Model resources, covering model training, serving, fine-tuning, and building LLM applications.
A curated list of hacking environments where you can train your cyber skills legally and safely
Frontend tech guide and curated collection of frontend materials
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!