This is a rough list of my favorite deep learning resources. It has been useful to me for learning how to do deep learning, I use it for revisiting topics or for reference. I (Guillaume Chevalier) have built this list and got through all of the content listed here, carefully.

Key materials

• How to use MobX with Create React App:
  • Without ejecting, by using react-app-rewired
  • Or, with ejecting and adjusting config
• MobX 6 starter - with mobx-persist-store & without decorators 

A curated list of awesome, free machine learning and artificial intelligence courses with video lectures. All courses are available as high-quality video lectures by some of the best AI researchers and teachers on this planet.

Besides the video lectures, I linked course websites with lecture notes, additional readings and assignments.

A curated list of awesome neural radiance fields papers, inspired by awesome-computer-vision.

A curated list of awesome console services (reachable via HTTP, HTTPS and other network protocols). Structured data of the list (kept in sync) is in structured.yaml.

The table of content is generated with doctoc. Make sure you run it and update the table of content before making pull requests.

精选的 Dash (plotly) 资源列表

Dash 是用于构建 Web 应用程序的高效 Python 框架。 Dash 在 Flask、Plotly.js 和 React.js 之上编写，非常适合在纯 Python 中构建具有高度自定义用户界面的数据可视化应用程序。 它特别适合使用 Python 处理数据的任何人。

Contents

• Tools
• Educational
• Other
• Contributing

Tools

Web Framework Hardening

• nosurf&nbsp

An auxiliary list of awesome Haskell links, frameworks, libraries and software. The part of the awesome projects line.

A curated list of awesome data labeling tools