:notebook_with_decorative_cover: :books: A curated list of awesome resources : books, videos, articles about using Next.js (A minimalistic framework for universal server-rendered React applications)
A simplified Jira clone built with React/Babel (Client), and Node/TypeScript (API). Auto formatted with Prettier, tested with Cypress.
A reference .NET application implementing an eCommerce site
⭕ Share quick reference cheat sheet for developers.
This guide details creating a secure Linux production system. OpenSCAP (C2S/CIS, STIG).
Kodluyoruz için Hazırladığım Video Eğitim Seti Repo'sudur. Tüm Eğitimlerime: https://linktr.ee/hakanyalcinkaya adresinden ulaşabilirsiniz.
Thoughts on Go performance optimization
- optimization
- performance
- performance-optimization
- performance-analysis
Techniques for deep learning with satellite & aerial imagery
A resource repository for 3D machine learning
A curated list of Web Performance Optimization.
Toturials coming with the "data science roadmap" picture.
Below are some simple methods for exiting vim.
[Examples] Simple basic isolated apps, for budding flutter devs.
A list of command-line tools for manipulating structured text data
A guide to understand the importance of commit messages and how to write them well
A curated list of Chaos Engineering resources.
- netflix-chaos-monkey
- chaos-engineering
- chaos-monkey
- simian-army
Implements a deep pretty printer for Go data structures to aid in debugging
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.
:dash: Writing Fast Ruby :heart_eyes: -- Collect Common Ruby idioms.
- benchmark-ips
- performance-optimization
- ruby
- hacktoberfest
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.
An authoritative list of awesome devsecops tools with the help from community experiments and contributions.
A curated list of awesome iOS animation, including Objective-C and Swift libraries
A collection of AWESOME things about domain adaptation
- transfer-learning
- domain-adaptation
- adversarial-learning
- image-translation