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🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Translated"Code Random Thoughts" (代码随想录) LeetCode problem-solving guide: the order for working through 200 classic problems, with 600,000 characters of detailed illustrated explanations, video analysis of difficult points, and over 50 mind maps. Supports multiple language versions including C++, Java, Python, Go, and JavaScript, so learning algorithms is never confusing again! 🔥🔥 Come take a look, and you will wish you had met it sooner! 🚀

30 days of JavaScript programming challenge is a step-by-step guide to learn JavaScript programming language in 30 days. This challenge may take more than 100 days, please just follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  • 30daysofjavascript
  • javascript-for-everyone
  • css
  • html

An interactive git visualization and tutorial. Aspiring students of git can use this app to educate and challenge themselves towards mastery of git!

TranslatedThe place where 冴羽 (Yu Saeba, "Saeba Yu") writes his blog; he plans to write four series: an in-depth JavaScript series, a JavaScript topics series, an ES6 series, and a React series.

  • blog
  • javascript
  • advanced

TranslatedQiangu's illustrated front-end tutorials, an extremely detailed knowledge base from beginner to advanced front-end. Learn front-end from scratch and become a refined and elegant front-end engineer.

30 Days of React challenge is a step by step guide to learn React in 30 days. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

  • challenge
  • javascript
  • js
  • react

TranslatedA Python web scraping tutorial series, learning Python web scraping from 0 to 1, including browser packet capture and mobile APP packet capture with tools such as fiddler and mitmproxy, the use of the various modules involved in web scraping, such as requests, beautifulSoup, selenium, appium, scrapy, etc., as well as IP proxies, CAPTCHA recognition, using Mysql and MongoDB databases with Python, multi-threaded and multi-process scraping, reverse engineering and cracking of CSS scraping encryption, JS scraping reverse engineering, distributed scraping, practical scraping project examples, etc.

  • python3
  • python-script
  • python-spider